Amazon faces lawsuit over Ring facial recognition software A Virginia resident is suing Amazon for privacy violations after the e-commerce company’s Ring video doorbell camera allegedly used facial recognition technology to record and store images of his face without his consent. Charles Sigwalt, who filed a lawsuit on Monday in Seattle federal court, where Amazon has one of its headquarters, alleges that Ring’s “Familiar Faces” feature uses facial-recognition software to scan anyone who passes by the doorbell camera and categorizes them using artificial intelligence. The system then collects a “face print” that allows it to re-identify the person, according to his complaint, which seeks class-action status. “When plaintiffs and class members entered the homes and businesses of places which had Ring cameras that deployed Familiar Faces, they did not consent to have their privacy rights violated at the entrance way,” the suit alleges. Sigwalt alleges Ring collected his facial recognition data without warning while he was visiting friends’ and family members’ homes. He believes the company is still storing his biometric data, according to the lawsuit. Amazon declined to comment on the suit. “Familiar Faces” draws criticism Ring introduced the “Familiar Faces” feature in September 2025, billing it as a way for owners of its doorbell camera to receive more personalized alerts when someone arrives at their residence. Instead of seeing “Person at Front Door,” for example, they might receive an alert with a name, such as “John at Front Door.” “Your camera learns to recognize friends, family and frequent visitors over time,” the company says on its website. Users can turn the feature on and off, according to Ring. Groups like the nonprofit Electronic Frontier Foundation have pushed back on the feature, claiming it violates people’s privacy. The biometric data could be used for mass surveillance or be leaked
Jun 3, 2026 · via wdef.com
Amazon subsidiary Ring is facing a class-action lawsuit alleging it collected facial recognition data without consent. Ring, Amazon's smart doorbell and security camera brand, offers products equipped with AI image processing and Alexa-enabled response functions. However, Ring has been collecting and using facial recognition data of visitors and passersby without their consent, leading to a class-action lawsuit seeking over $5 million (approximately 800 million yen) in damages. The plaintiffs argue that Ring should compensate those whose faces have been photographed and used for facial recognition without their consent. Amazon's Ring sued over facial recognition feature, latest privacy concern for doorbell maker | Reuters Amazon-owned Ring should pay Americans for scanning their faces, lawsuit says - Ars Technica https://arstechnica.com/tech-policy/2026/06/amazon-owned-ring-should-pay-americans-for-scanning-their-faces-lawsuit-says/ Ring announced several new products and tools in October 2025. One of the new tools is 'Familiar Faces,' which uses AI to identify registered people. With Familiar Faces, you can be notified when a stranger approaches, or skip the response process when a familiar person approaches. Amazon Ring introduces numerous new products, including the 'Outdoor Cam Pro,' the series' first 4K security camera, along with a wealth of features such as 'Alexa+ Greetings' where Alexa responds on your behalf and AI-powered video explanations - GIGAZINE Charles Sigwalt, a Virginia resident, filed a class-action lawsuit on June 2, 2026, in the U.S. District Court for the Western District of Washington, where Amazon's headquarters are located, alleging that Familiar Faces violates fundamental consumer privacy principles. Sigwalt is proposing a class-action lawsuit targeting all people across the United States who have had their faces recognized by Amazon's facial recognition system, as well as a smaller class-action lawsuit targeting residents of Virginia. The lawsuit states, 'Familiar Faces uses facial recognition technology to scan the faces of all visitors and passersby, and uses AI to classify who
Jun 3, 2026 · via gigazine.net
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Jun 3, 2026 · via theregister.com
Shift change chaos meets reality: It’s 6:58 a.m. at Station 4. The night crew is still catching up on competing charts from the tail end of their shift. The day crew just walked in, coffee in hand, trying to get the truck checked before the first tone drops. One paramedic is hunting down narc keys, another is on the phone with fleet trying to get a jump-start for the backup unit. Suddenly, the tones chimes and the dispatcher says over the intercom: “Medic 4 respond to an unknown problem/wellness check: priority 2. Third-party caller states the patient hasn’t been seen in 48 hours. Elderly male, history of dementia. No answer at the door. Police enroute to this location.” Your partner flips open the laptop and try to see if there have been other calls to this address and get an understanding of what you may be encountering on scene, only to realize the Wi-Fi is down. You glance at the wall clock. It’s 7:03 a.m. You haven’t completed a truck check, reviewed your crew status or even signed in yet. No one’s slacking. This is just a typical EMS morning, where everything happens at once, and everyone does their best to stay one step ahead of falling behind. | REGISTER: Smart tools, strategic choices: EMS puts AI into action Now imagine a quiet assistant — one that never sleeps — had already: - Verified and corrected the patient’s address using past encounter data - Pulled the previous run report and highlighted key medical history - Populated the ePCR with caller notes, demographics and risk flags - Loaded the relevant dementia/wellness protocol onto your tablet - Logged your crew in, pre-filled the rig checklist, and flagged a low battery in your suction unit This isn’t wishful thinking; it’s exactly what AI
Jun 3, 2026 · via ems1.com
In what may be one of the more questionable uses of AI to date, Amazon announced on Wednesday that it will display AI-generated images of products within its shopping app based on users’ search queries. That’s right — a retailer where people shop for real-world products thinks that displaying fake photos will “help” consumers better find what they’re looking for. Enough already. Here’s how Amazon says in a blog post that the feature will work. Customers may have something in mind but don’t know the right term to describe it in a way that returns useful results. (The examples Amazon gives are things like “cowl neck” for a style of shirts or “rattan” for furniture.) When someone enters a search query, they’ll be shown a variety of AI-generated product images below their autocomplete suggestions (see above image). For instance, if you search for a blue gingham dress, you might see a few dress styles — short or long sleeves, varying lengths, and other differences — appear as visual options. The idea is that clicking one would direct you to search results that better match that style, powered by Amazon’s visual search capabilities. In reality, it’s somewhat bananas for a retailer to make up fake products as a way of guiding users to search results. For starters, it’s potentially misleading — customers who don’t read carefully may think they’re being directed to a page where they could find that exact dress, then be disappointed when it isn’t available. And there’s the fairly obvious question of why you’d make up product images when you have a website full of real photographs of real products — which is presumably what an online shopper actually wants to see. The feature follows a number of other attempts by Amazon to integrate AI into its retail
Jun 3, 2026 · via techcrunch.com
Microsoft ends support for Internet Explorer on June 16, 2022. We recommend using one of the browsers listed below. Please contact your browser provider for download and installation instructions. June 3, 2026 Two papers authored by NTT Laboratories have been accepted at CVPR (The IEEE/CVF Conference on Computer Vision and Pattern Recognition) 2026 to be held in Denver, Colorado, USA, from June 3 to 7, 2026. This is a flagship conference on computer vision and pattern recognition where researchers seek the computational understanding, control, and generation of images and movies as well as their foundational theories. Abbreviated names of the laboratories: HI: NTT Human Informatics Laboratories CD: NTT Computer and Data Science Laboratories (The affiliations are at the time of submission.) Shin'ya Yamaguchi (CD)、Kosuke Nishida (HI)、Daiki Chijiwa (CD) Chain-of-Thought (CoT) prompting has been adapted for large vision-language models (LVLMs) to enhance multi-modal reasoning capability by generating intermediate rationales. However, our experiments reveal a key challenge: existing models often ignore the contents of these generated rationales during output generation. To address this issue, we propose Rationale-Enhanced Decoding (RED), a novel decoding strategy that requires no additional training. RED effectively harmonizes visual and rationale information by multiplying distinct image-conditional and rationale-conditional next-token distributions at the decoding time, ensuring the model's outputs are strictly grounded in the rationale. Extensive experiments demonstrate that RED consistently and significantly improves the dependency on rationales and reasoning performance across multiple benchmarks. This technology not only improves the performance of LVLM but also enhances the interpretability required for leveraging AI in critical decision-making. It is expected to find applications in various domains where humans and AI collaborate, including AI Constellation©. Shin'ya Yamaguchi (CD)、Tamao Sakao (CD)、Daiki Chijiwa (CD)、Taku Hasegawa (HI) Multi-modal in-context learning (MM-ICL) allows large vision-language models (LVLMs) to adapt to new tasks using demonstration examples. However, increasing
Jun 3, 2026 · via group.ntt
JACKSONVILLE, Fla. — The Jacksonville Sheriff’s Office is responding after Action News Jax showed how the department used AI to help identify a suspect in a grand theft case, but the technology and two eye witnesses ended up picking the wrong guy. We’ve teamed up with our sister station, WSOC-TV in Charlotte, North Carolina, for this story and they spoke in person with Jalil Richardson, a Charlotte man whose life was turned upside down in this case of high-tech mistaken identity. >>> STREAM ACTION NEWS JAX LIVE <<< “And I sat in there for over 50 days in the most worst jail ever,” Richardson said, speaking about the Duval County Jail. Action News Jax first told you last week how Richardson spent months in jail after a man in Jacksonville contacted authorities when he tried to register his new car only to find out it had been stolen. So JSO used surveillance video from the parking lot where the exchange happened. RELATED: Charlotte father of 10 says Jacksonville police AI misidentification cost him his freedom, home, job According to court documents, the victim said the seller also gave him a fake Georgia ID. A JSO investigator then used AI to try and match a suspect to the video and the ID. The facial recognition system matched the evidence with 85% accuracy to Richardson. “There was no proper investigation done, um, to even reach out to me or to see if I was even in Florida,” Richardson said. We asked JSO a series of questions about the case, including whether an 85% match is sufficient for investigators to pursue a lead. [DOWNLOAD: Free Action News Jax app for alerts as news breaks] They’re still working on getting us that answer, but sent the following statement to us: “The investigating patrol officer
Jun 2, 2026 · via actionnewsjax.com
Amazon faces lawsuit over Ring facial recognition software A Virginia resident is suing Amazon for privacy violations after the e-commerce company's Ring video doorbell camera allegedly used facial recognition technology to record and store images of his face without his consent. Charles Sigwalt, who filed a lawsuit on Monday in Seattle federal court, where Amazon has one of its headquarters, alleges that Ring's "Familiar Faces" feature uses facial-recognition software to scan anyone who passes by the doorbell camera and categorizes them using artificial intelligence. The system then collects a "face print" that allows it to re-identify the person, according to his complaint, which seeks class-action status. "When plaintiffs and class members entered the homes and businesses of places which had Ring cameras that deployed Familiar Faces, they did not consent to have their privacy rights violated at the entrance way," the suit alleges. Sigwalt alleges Ring collected his facial recognition data without warning while he was visiting friends' and family members' homes. He believes the company is still storing his biometric data, according to the lawsuit. Amazon declined to comment on the suit. "Familiar Faces" draws criticism Ring introduced the "Familiar Faces" feature in September 2025, billing it as a way for owners of its doorbell camera to receive more personalized alerts when someone arrives at their residence. Instead of seeing "Person at Front Door," for example, they might receive an alert with a name, such as "John at Front Door." "Your camera learns to recognize friends, family and frequent visitors over time," the company says on its website. Users can turn the feature on and off, according to Ring. Groups like the nonprofit Electronic Frontier Foundation have pushed back on the feature, claiming it violates people's privacy. The biometric data could be used for mass surveillance or be leaked
Jun 2, 2026 · via cbsnews.com
Amazon Ring sued over facial recognition feature as privacy fight moves to federal court Amazon and its Ring home security subsidiary have been hit with a proposed class action lawsuit accusing the company of collecting and retaining facial recognition data from visitors, delivery workers, neighbors, and passersby without their consent through Ring’s new “Familiar Faces” feature. The lawsuit, filed Monday in the U.S. District Court for the Western District of Washington, marks the latest escalation in a long-running privacy fight over Ring’s transformation from a consumer doorbell camera into a broad residential surveillance network. The plaintiff, Charles Sigwalt, a Virginia resident, is seeking at least $5 million in damages on behalf of a proposed nationwide class. The lawsuit alleges that Ring violated state and common law privacy protections by deploying facial recognition technology in a way that captures people who never purchased a Ring device, never agreed to Ring’s terms of service, and never consented to biometric scanning. Sigwalt claims that he visited homes of friends and family where Ring cameras using Familiar Faces were active and that his facial recognition data was collected without notice or compensation. At the center of the case is Familiar Faces, a Ring feature that allows users to identify recurring visitors and receive personalized alerts. But instead of a generic notification that a person is at the front door, the feature can identify someone by name once the Ring user has labeled that person. Ring says the feature is optional and not turned on by default. Ring’s support materials say profiles and facial recognition information are encrypted and stored in the cloud, not on the device, that unnamed profiles are automatically removed after 30 days without recognition, and that all profiles and facial recognition information are deleted after 180 days of no recognition. The
Jun 2, 2026 · via biometricupdate.com
BuzzFeed GamesIf You Can Solve This Color Puzzle In Less Than 3 Minutes, You Have Perfect Color VisionHuedoku #35! Tuesday brain boost — let’s see what you’ve got. 🎨💪Posted 10 hours agocommentFacebookPinterestLinkby Crystal RoBuzzFeedBuzzFeed StaffHi, I’m Crystal, a Senior Editor based in Los Angeles and creator of BuzzFeed’s “That Got Dark” newsletter. Huedoku is a daily color puzzle with simple rules and a satisfying solve. It's like sudoku, but with colors instead of numbers. Sign up here to get notified every time we publish a new Huedoku! Huedoku #36 drops tomorrow — don't break the streak! 🌈 🌈 New Huedoku drops every weekday at 4:00 a.m. PT / 7:00 a.m. ET. 🧩🗂️ Huedoku Archive — Every past puzzle, all in one place! Comments
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Jun 2, 2026 · via buzzfeed.com
A lawsuit against Amazon is seeking financial damages for millions of Americans whose faces may have been recorded by Ring cameras since the Familiar Faces feature was rolled out late last year. Plaintiff Charles Sigwalt yesterday filed a class action suit that aims to represent all people in the US “who had their facial recognition data collected, retained, and otherwise used by the Familiar Faces feature created and implemented by Defendant.” The lawsuit will seek “far” more than $5 million, but the $5 million figure was given in the complaint because US district courts have jurisdiction for civil actions seeking at least that amount. “Here, there are millions of Americans who have walked by Ring cameras which have activated the Familiar Faces feature… the damages in this action far exceed $5,000,000.00 when calculating the statutory damages that may be owed to each Class member in addition to the actual damages caused by the aggregate loss of value of biometric information,” the lawsuit said. Ring’s Familiar Faces feature is designed to identify people who appear at one’s door and provide alerts to the owner of the camera. Amazon says Familiar Faces is not enabled by default but that owners of Ring cameras can turn it on. Ring camera users can create a “personal directory of up to 50 familiar faces” so they can be alerted when one comes to the door. Sigwalt lives in Virginia and filed the suit in US District Court for the Western District of Washington, where Amazon is headquartered. He proposes a nationwide class of all people in the US whose faces were scanned and a subclass for Virginia residents. “Familiar Faces uses facial recognition technology to scan the face of all guests and passersby before categorizing who they are using artificial intelligence,” the lawsuit said. “AI
Jun 2, 2026 · via arstechnica.com
Partenope Ristorante in Dallas ranked No. 18 on the 50 Top Pizza USA 2026 list released this week, marking its sixth consecutive appearance among the nation’s best pizzerias. The Naples-style pizzeria, with locations in downtown Dallas and Richardson, is the only Texas restaurant on the annual ranking compiled by the Italy-based 50 Top Pizza organization. It also received the “Made in Italy 2026 – Salumi Coati Award” for its commitment to authentic Italian culinary traditions. Partenope Ristorante opened in downtown Dallas in 2019 in the historic Titche-Goettinger Building at 1903 Main St. Founded by Naples-born pizzaiolo Dino Santonicola and his wife Megan, the restaurant emphasizes traditional Neapolitan pizza made with a custom oven imported from Naples. A second location operates at 110 S. Greenville Ave. in Richardson. Reviewers with 50 Top Pizza praised its dough as “traditional Neapolitan, soft and melt-in-your-mouth, with precise cooking techniques,” noting it as the top reference for Neapolitan-style pizza in North Texas. Dino Santonicola said in a social media post: “To receive this recognition from such a respected organization is incredibly humbling. Every dish we serve is rooted in tradition, passion, quality ingredients, and the spirit of Naples that inspires everything we do.” The pizzeria has maintained strong placements on the list in prior years, consistently ranking in the top 20. It remains the only Texas entry for 2026. Other Top Dallas-Area Pizzerias Several other Dallas-area spots earned recognition in local and national guides in 2026. Motor City Pizza in Lewisville ranked as the “Best Pizza in Texas” for the second year in a row according to 5 Reasons to Visit. It also placed in the top 6 for best pizza in Dallas per D Magazine. D Magazine’s May 2026 guide to the best pizza in Dallas highlighted several standouts alongside Partenope, including Zoli’s NY
Jun 2, 2026 · via dallasexpress.com
Amazon, Ring sued for alleged privacy violations from facial recognition tools The Familiar Faces feature may store biometrics without people’s knowledge. The hits keep coming for Amazon's smart home brand Ring. The company has been sued on claims that a feature on its doorbells and cameras allows the devices to collect and store photos of passers by without their consent. The Familiar Faces capability at the center of the lawsuit is an optional one that leverages AI to recognize and remember people who frequent a location. Plaintiff Charles Sigwalt is seeking class action certification for the suit, and is looking for at least $5 million in damages. "Millions of other Americans passed by a Ring security camera and unknowingly had their facial recognition information collected," the suit states. It also referenced a letter to Amazon from US Senator Edward Markey, who wrote, "Amazon's system forces non-consenting bystanders into a biometric database without their knowledge or consent. This is an unacceptable privacy violation." Since Amazon acquired Ring in 2018, it has faced lawsuits about hacked devices and privacy concerns. It also saw backlash over a feature it advertised during the 2026 Super Bowl that seemed more like a mass surveillance tool than a way to find lost pets.
Jun 2, 2026 · via engadget.com
Figures Abstract Lung diseases, particularly lung cancer, remain a leading cause of mortality worldwide, accounting for approximately 1.8 million deaths annually. Early and accurate diagnosis is critical for improving patient outcomes. This study also introduces a unified platform for evaluating multiple convolutional neural network architectures and comparing them to a Vision Transformer model while utilizing a common tensor-based preprocessing pipeline for classifying lung cancer with CT/PET-CT imaging. To enhance model adaptability, all input images were initially converted into tensors prior to training, enabling implicit fine-tuning without altering the original architecture. The YOLOTransfer dataset, comprising diverse and annotated medical images, was used to benchmark model performance. Classical CNN models such as AlexNet, VGG-16, ResNet-50, DenseNet, and EfficientNet were compared against ViT in terms of accuracy, sensitivity, specificity, F1-score, and AUC-ROC. Among all models, ResNet-50 and EfficientNet achieved the highest accuracy, while the Vision Transformer showed competitive results in capturing complex global patterns. The findings highlight the complementary strengths of convolutional and transformer-based architectures for medical image analysis and demonstrate the feasibility of deep learning approaches for lung cancer detection. Citation: Asim N, Sirshar M, Khan MZ, Ejaz S, Khalid S, Aljubayri I, et al. (2026) Tensor enhanced chest cancer classification via CNN and Vision Transformer models. PLoS One 21(6): e0348863. https://doi.org/10.1371/journal.pone.0348863 Editor: Muhammad Mateen, Soochow University, CHINA Received: September 3, 2025; Accepted: April 22, 2026; Published: June 2, 2026 Copyright: © 2026 Asim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: All image files are available from the database Roboflow, “YoloTransfer Dataset,” It is available at: https://universe.roboflow.com/mehmet-fatih-akca/yolotransfer, 2024. Funding: The author(s) received no specific funding for this work. Competing interests: The
Jun 2, 2026 · via journals.plos.org
Amazon's Ring sued over facial recognition feature, latest privacy concern for doorbell maker SAN FRANCISCO, June 2 : Amazon was sued on Monday by a Virginia resident over what he said were privacy violations after the company's Ring doorbell cameras at friends and family members' homes collected and stored images of his face using facial recognition software. The plaintiff, Charles Sigwalt, who is seeking class-action status, sued Amazon in federal court in Seattle alleging a feature known as “Familiar Faces” retains images of passersby without their consent. He is seeking at least $5 million in damages for the class. Familiar Faces, which is optional, uses artificial intelligence to identify and remember people so that when they return to a home or a business, notifications can include specific names. Those affected “did not consent to have their privacy rights violated at the entrance way,” according to the suit. “Millions of other Americans passed by a Ring security camera and unknowingly had their facial recognition information collected.” Amazon declined to comment. The suit, which seeks unspecified damages for those impacted, is just the latest in a string of controversies around Amazon’s Ring, the unit that makes the eponymous smart doorbells and security systems. Ring, which Amazon bought in 2018 for $1 billion, in February faced a backlash over a service that it advertised during the Super Bowl that it said helps people find lost dogs by activating its neighborhood network of cameras. Users and privacy advocates were concerned the cameras could be deployed to surveil whole neighborhoods or areas. Following the criticism, Ring in February ended an unrelated partnership with Flock Safety, which deploys license plate readers and cameras for law enforcement use. In 2023, the U.S. Federal Trade Commission reached a $5.8 million settlement with Ring over privacy allegations that it
Jun 2, 2026 · via channelnewsasia.com
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Jun 2, 2026 · via moomoo.com
Amazon was sued on Monday over alleged privacy violations from its Ring doorbell cameras. The class action lawsuit, filed in Seattle by Virginia resident Charles Sigwalt, claims that Ring’s Familiar Faces feature stores images of passersby without consent. Ring announced the Familiar Faces feature last September and faced pushback from consumer protection organizations like the EFF, as well as Senator Ed Markey (D-MA). But the company moved forward with its plans to launch the feature in December. Familiar Faces lets Ring users identify people who regularly come to their home through AI facial recognition. That way, if a regular guest, like a family member, mail carrier, or neighbor, comes to the door, the device will be able to recognize them and deliver more specific notifications like “Dad is at the door,” rather than “A person is at the door.” Ring users have to opt in to this feature, but privacy advocates noted that the people who walk past these Ring doorbells have not consented to these facial-recognition scans. That same concern is at the center of this class action lawsuit. According to the lawsuit, “Millions of other Americans passed by a Ring security camera and unknowingly had their facial recognition information collected.” Amazon did not immediately respond to a request for comment. At the time the feature was released, the company stated that face data is encrypted and never shared; unidentified faces are automatically removed after 30 days. Amazon’s Ring has a record of concerning behaviors regarding user privacy. In 2023, Amazon settled with the Federal Trade Commission (FTC) and paid a $5.8 million fine over allegations that the company’s staff and contractors had improperly accessed private videos from women customers; the FTC’s complaint said that every employee had full access to every customer video, even if the worker had
Jun 2, 2026 · via techcrunch.com
Students erupt as San Diego State University brings in massive surveillance system See more of our coverage in your search results. Add The California Post on GoogleMore than 1,300 AI-powered cameras have been installed across San Diego State University, monitoring students in dorms, classrooms, gyms and dining halls as part of a sprawling surveillance network that has sparked outrage on campus. The cameras were added as part of a more than $1.3 million upgrade completed by university police in 2024, according to records obtained by student journalists at the Daily Aztec. The system stretches across campus from Montezuma Road to Montezuma Mesa and includes cameras in academic buildings, bookstores, parking structures, recreation centers, and residence halls. But while SDSU says students are informed about the presence of security cameras, neither the school’s housing website nor its Guide to Community Living handbook mentions the system’s artificial intelligence capabilities, according to the student newspaper. The lack of transparency has left some students furious. “I think that this monitoring is a heinous violation of students’ privacy,” second-year business major Sophia Pomponio, who lives in Zacatepec, told the outlet before slamming the surveillance system. Sign up for the California Morning Report newsletter California's top news, sports and entertainment delivered to your inbox every day. Thanks for signing up! “Technology such as this spits in the face of students’ rights to privacy and freedom, and shows exactly how SDSU values their students, as currency.” Public records reveal that over 330 cameras are located in student housing alone, making up nearly 28% of the campus’s total surveillance devices. Huaxyacac, the university’s largest first-year residence hall, has 79 cameras installed as part of the surveillance upgrade. Tenochca has 36, and Chapultepec has 33. In total, 18 out of 24 residential buildings are under surveillance. Despite their widespread
Jun 2, 2026 · via nypost.com
U.S. Army Lt. Gen. Joe Hilbert, Eighth Army commanding general, presents a certificate to Hui Chong Pak during the Eighth Army Civilian of the Quarter ceremony at Camp Humphreys, South Korea, May 29, 2026. The recognition demonstrated Eighth Army’s commitment to honoring civilian excellence that directly supports the command’s readiness, resilience and mission accomplishment. (U.S. Army photo by Pv2 Yunseong Jang)
| Date Taken: | 05.28.2026 |
| Date Posted: | 06.01.2026 19:04 |
| Photo ID: | 9713741 |
| VIRIN: | 260529-A-JR370-9593 |
| Resolution: | 4735x3788 |
| Size: | 6.74 MB |
| Location: | CAMP HUMPHREYS, KR |
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Jun 1, 2026 · via dvidshub.net
Figures Abstract Scene Text Recognition (STR) is a fundamental component of intelligent perception systems and plays a crucial role in a wide range of real-world applications such as autonomous driving, document understanding, and human–computer interaction. STR still faces several challenges in practical applications, including high sensitivity to spatial perturbations, limited representational capacity of lightweight Connectionist Temporal Classification(CTC)-based models, and the difficulty of handling diverse text styles within a single unified architecture. Although SVTRv2 enhances the recognition ability of CTC models through a combination of local and global mixing mechanisms, its robustness and generalization capability remain insufficient when dealing with geometric distortions, complex backgrounds, or text with large stylistic variations. To address these issues, we propose SVTRv2X, an enhanced STR framework built upon SVTRv2 that integrates three complementary improvement modules. The Jumble Module strategically rearranges input patches before the patch embedding stage, fundamentally reducing the model’s reliance on fixed spatial structures and significantly improving robustness to rotated, misaligned, and irregular text. The Self-Distillation Module transfers deep-layer knowledge to shallow features, effectively strengthening early-stage representations while maintaining lightweight inference. The Mixture-of-Experts (MoE) Module expands model capacity through sparsely activated expert networks, allowing specialized processing of different text styles without introducing substantial computational overhead. Extensive experiments demonstrate that SVTRv2X achieves state-of-the-art performance on multiple STR benchmarks, substantially advancing the model’s recognition capability in real-world scene text scenarios. Citation: Guo J, Cui H, Tang W, Zhou X, Xu X, Cheng Q (2026) SVTRv2X: Enhanced scene text recognition via self-distilled mixture-of-experts. PLoS One 21(6): e0349085. https://doi.org/10.1371/journal.pone.0349085 Editor: Hikmat Ullah Khan, University of Sargodha, PAKISTAN Received: January 20, 2026; Accepted: April 25, 2026; Published: June 1, 2026 Copyright: © 2026 Guo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction
Jun 1, 2026 · via journals.plos.org