{"list":"other","total":96,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"2304.07193","title":"DINOv2: Learning Robust Visual Features without Supervision","created":"2023-04-14","cited_by_count":7974},{"id":"1807.03748","title":"Representation Learning with Contrastive Predictive Coding","created":"2018-07-10","cited_by_count":7777},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"2111.06377","title":"Masked Autoencoders Are Scalable Vision Learners","created":"2021-11-11","cited_by_count":7403},{"id":"2104.14294","title":"Emerging Properties in Self-Supervised Vision Transformers","created":"2021-04-29","cited_by_count":6968},{"id":"2006.07733","title":"Bootstrap your own latent: A new approach to self-supervised Learning","created":"2020-06-13","cited_by_count":4750},{"id":"1905.04899","title":"CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features","created":"2019-05-13","cited_by_count":2884},{"id":"1903.12261","title":"Benchmarking Neural Network Robustness to Common Corruptions and Perturbations","created":"2019-03-28","cited_by_count":2877},{"id":"2011.10566","title":"Exploring Simple Siamese Representation Learning","created":"2020-11-20","cited_by_count":2866},{"id":"2006.09882","title":"Unsupervised Learning of Visual Features by Contrasting Cluster Assignments","created":"2020-06-17","cited_by_count":2857},{"id":"2003.04297","title":"Improved Baselines with Momentum Contrastive Learning","created":"2020-03-09","cited_by_count":2287},{"id":"1907.02893","title":"Invariant Risk Minimization","created":"2019-07-05","cited_by_count":1854},{"id":"2006.16241","title":"The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization","created":"2020-06-29","cited_by_count":1850},{"id":"1805.01978","title":"Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination","created":"2018-05-05","cited_by_count":1845},{"id":"2103.03230","title":"Barlow Twins: Self-Supervised Learning via Redundancy Reduction","created":"2021-03-04","cited_by_count":1838},{"id":"2104.02057","title":"An Empirical Study of Training Self-Supervised Vision Transformers","created":"2021-04-05","cited_by_count":1616},{"id":"1811.12231","title":"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","created":"2018-11-29","cited_by_count":1432},{"id":"2508.10104","title":"DINOv3","created":"2025-08-13","cited_by_count":1414},{"id":"2006.10029","title":"Big Self-Supervised Models are Strong Semi-Supervised Learners","created":"2020-06-17","cited_by_count":1380},{"id":"2203.12602","title":"VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training","created":"2022-03-23","cited_by_count":1322},{"id":"1708.04896","title":"Random Erasing Data Augmentation","created":"2017-08-16","cited_by_count":1239},{"id":"1607.01719","title":"Deep CORAL: Correlation Alignment for Deep Domain Adaptation","created":"2016-07-06","cited_by_count":1200},{"id":"2105.04906","title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","created":"2021-05-11","cited_by_count":1057},{"id":"1912.02781","title":"AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty","created":"2019-12-05","cited_by_count":901},{"id":"2003.00688","title":"Out-of-Distribution Generalization via Risk Extrapolation (REx)","created":"2020-03-02","cited_by_count":742},{"id":"1905.09272","title":"Data-Efficient Image Recognition with Contrastive Predictive Coding","created":"2019-05-22","cited_by_count":673},{"id":"1807.04975","title":"Recognition in Terra Incognita","created":"2018-07-13","cited_by_count":658},{"id":"2109.00512","title":"Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction","created":"2021-09-01","cited_by_count":652},{"id":"1301.2115","title":"Domain Generalization via Invariant Feature Representation","created":"2013-01-10","cited_by_count":623},{"id":"2104.10972","title":"ImageNet-21K Pretraining for the Masses","created":"2021-04-22","cited_by_count":613},{"id":"2303.16727","title":"VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking","created":"2023-03-29","cited_by_count":528},{"id":"1906.02845","title":"Likelihood Ratios for Out-of-Distribution Detection","created":"2019-06-07","cited_by_count":453},{"id":"1904.11486","title":"Making Convolutional Networks Shift-Invariant Again","created":"2019-04-25","cited_by_count":391},{"id":"2008.03800","title":"Spatiotemporal Contrastive Video Representation Learning","created":"2020-08-09","cited_by_count":372},{"id":"1709.10190","title":"Unified Deep Supervised Domain Adaptation and Generalization","created":"2017-09-28","cited_by_count":323},{"id":"2007.06346","title":"Whitening for Self-Supervised Representation Learning","created":"2020-07-13","cited_by_count":279},{"id":"1904.03436","title":"Unsupervised Embedding Learning via Invariant and Spreading Instance Feature","created":"2019-04-06","cited_by_count":232},{"id":"2010.09709","title":"Self-supervised Co-training for Video Representation Learning","created":"2020-10-19","cited_by_count":232},{"id":"2104.14558","title":"A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning","created":"2021-04-29","cited_by_count":214},{"id":"2111.05328","title":"Data Augmentation Can Improve Robustness","created":"2021-11-09","cited_by_count":194},{"id":"2104.09841","title":"SelfReg: Self-supervised Contrastive Regularization for Domain Generalization","created":"2021-04-20","cited_by_count":189},{"id":"2001.04086","title":"GridMask Data Augmentation","created":"2020-01-13","cited_by_count":123},{"id":"1604.04004","title":"Understanding How Image Quality Affects Deep Neural Networks","created":"2016-04-14","cited_by_count":119},{"id":"2101.07296","title":"Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias","created":"2021-01-18","cited_by_count":118},{"id":"2102.11273","title":"On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness","created":"2021-02-22","cited_by_count":97},{"id":"2004.01959","title":"Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning","created":"2020-04-04","cited_by_count":93},{"id":"1711.07183","title":"Adversarial Attacks Beyond the Image Space","created":"2017-11-20","cited_by_count":67},{"id":"2105.07269","title":"Mean Shift for Self-Supervised Learning","created":"2021-05-15","cited_by_count":65},{"id":"2007.16189","title":"Self-supervised learning through the eyes of a child","created":"2020-07-31","cited_by_count":61},{"id":"1611.05760","title":"Examining the Impact of Blur on Recognition by Convolutional Networks","created":"2016-11-17","cited_by_count":58},{"id":"1904.08489","title":"Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers","created":"2019-04-17","cited_by_count":57},{"id":"2011.14214","title":"Truly shift-invariant convolutional neural networks","created":"2020-11-28","cited_by_count":53},{"id":"2106.02266","title":"SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization","created":"2021-06-04","cited_by_count":50},{"id":"2306.12517","title":"FFCV: Accelerating Training by Removing Data Bottlenecks","created":"2023-06-21","cited_by_count":49},{"id":"2108.02722","title":"Video Contrastive Learning with Global Context","created":"2021-08-05","cited_by_count":41},{"id":"2405.17426","title":"Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving","created":"2024-05-27","cited_by_count":41},{"id":"2405.20469","title":"Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images","created":"2024-05-30","cited_by_count":41},{"id":"1911.07349","title":"Putting visual object recognition in context","created":"2019-11-17","cited_by_count":33},{"id":"1912.12510","title":"Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices","created":"2019-12-28","cited_by_count":32},{"id":"2010.07591","title":"Respecting Domain Relations: Hypothesis Invariance for Domain Generalization","created":"2020-10-15","cited_by_count":30},{"id":"1912.02783","title":"Self-Supervised Learning of Video-Induced Visual Invariances","created":"2019-12-05","cited_by_count":29},{"id":"2309.13549","title":"Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset","created":"2023-09-24","cited_by_count":28},{"id":"2104.02215","title":"When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes","created":"2021-04-06","cited_by_count":23},{"id":"2305.15372","title":"Learning high-level visual representations from a child's perspective without strong inductive biases","created":"2023-05-24","cited_by_count":22},{"id":"2305.06024","title":"A Survey on the Robustness of Computer Vision Models against Common Corruptions","created":"2023-05-10","cited_by_count":21},{"id":"2210.06433","title":"Self-supervised video pretraining yields robust and more human-aligned visual representations","created":"2022-10-12","cited_by_count":20},{"id":"2105.06463","title":"Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency","created":"2021-05-13","cited_by_count":19},{"id":"2505.11217","title":"Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization","created":"2025-05-16","cited_by_count":18},{"id":"2108.07920","title":"Adversarial Relighting Against Face Recognition","created":"2021-08-18","cited_by_count":16},{"id":"2206.00309","title":"Label-Efficient Online Continual Object Detection in Streaming Video","created":"2022-06-01","cited_by_count":16},{"id":"2302.08023","title":"Object-centric Learning with Cyclic Walks between Parts and Whole","created":"2023-02-16","cited_by_count":16},{"id":"2406.04138","title":"The 3D-PC: a benchmark for visual perspective taking in humans and machines","created":"2024-06-06","cited_by_count":16},{"id":"2205.01903","title":"Self-Taught Metric Learning without Labels","created":"2022-05-04","cited_by_count":13},{"id":"2309.04747","title":"When to Learn What: Model-Adaptive Data Augmentation Curriculum","created":"2023-09-09","cited_by_count":13},{"id":"2408.11208","title":"PooDLe: Pooled and dense self-supervised learning from naturalistic videos","created":"2024-08-20","cited_by_count":11},{"id":"2407.06704","title":"Self-supervised visual learning from interactions with objects","created":"2024-07-09","cited_by_count":10},{"id":"2211.15470","title":"Learning to Learn: How to Continuously Teach Humans and Machines","created":"2022-11-28","cited_by_count":9},{"id":"2101.01611","title":"Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species","created":"2021-01-05","cited_by_count":8},{"id":"2310.01636","title":"Adaptive Visual Scene Understanding: Incremental Scene Graph Generation","created":"2023-10-02","cited_by_count":8},{"id":"1910.14260","title":"A Self Validation Network for Object-Level Human Attention Estimation","created":"2019-10-31","cited_by_count":5},{"id":"2405.16493","title":"Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception","created":"2024-05-26","cited_by_count":5},{"id":"2506.14856","title":"Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D Reconstruction","created":"2025-06-17","cited_by_count":5},{"id":"2507.03168","title":"Adopting a human developmental visual diet yields robust, shape-based AI vision","created":"2025-07-03","cited_by_count":5},{"id":"2104.02206","title":"Tuned Compositional Feature Replays for Efficient Stream Learning","created":"2021-04-06","cited_by_count":4},{"id":"2410.03858","title":"Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation","created":"2024-10-04","cited_by_count":4},{"id":"2410.22768","title":"Emergence of Human-Like Attention in Self-Supervised Vision Transformers: an eye-tracking study","created":"2024-10-30","cited_by_count":4},{"id":"2307.05747","title":"Integrating Curricula with Replays: Its Effects on Continual Learning","created":"2023-07-08","cited_by_count":3},{"id":"2307.10768","title":"Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory","created":"2023-07-20","cited_by_count":3},{"id":"2206.07802","title":"Improving generalization by mimicking the human visual diet","created":"2022-06-15","cited_by_count":2},{"id":"2411.09176","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","created":"2024-11-14","cited_by_count":2},{"id":"2312.11436","title":"Layerwise complexity-matched learning yields an improved model of cortical area V2","created":"2023-12-18","cited_by_count":1},{"id":"2406.16850","title":"From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking","created":"2024-06-24","cited_by_count":1},{"id":"2507.18484","title":"Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments","created":"2025-07-24","cited_by_count":1}],"next_cursor":null}