{"total":128,"rows":[{"id":"2304.07193","title":"DINOv2: Learning Robust Visual Features without Supervision","created":"2023-04-14","cited_by_count":7974,"area":null},{"id":"2102.05918","title":"Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision","created":"2021-02-11","cited_by_count":3864,"area":null},{"id":"2305.05665","title":"ImageBind: One Embedding Space To Bind Them All","created":"2023-05-09","cited_by_count":1175,"area":null},{"id":"2112.09106","title":"RegionCLIP: Region-based Language-Image Pretraining","created":"2021-12-16","cited_by_count":616,"area":null},{"id":"2210.10163","title":"MedCLIP: Contrastive Learning from Unpaired Medical Images and Text","created":"2022-10-18","cited_by_count":570,"area":null},{"id":"2203.02053","title":"Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning","created":"2022-03-03","cited_by_count":561,"area":null},{"id":"2202.11094","title":"GroupViT: Semantic Segmentation Emerges from Text Supervision","created":"2022-02-22","cited_by_count":531,"area":null},{"id":"2112.12750","title":"SLIP: Self-supervision meets Language-Image Pre-training","created":"2021-12-23","cited_by_count":436,"area":null},{"id":"2110.05208","title":"Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm","created":"2021-10-11","cited_by_count":405,"area":null},{"id":"2204.09817","title":"Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing","created":"2022-04-21","cited_by_count":339,"area":null},{"id":"2210.07574","title":"Is synthetic data from generative models ready for image recognition?","created":"2022-10-14","cited_by_count":320,"area":null},{"id":"2110.02624","title":"CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation","created":"2021-10-06","cited_by_count":254,"area":null},{"id":"2101.02691","title":"Self-Supervised Pretraining of 3D Features on any Point-Cloud","created":"2021-01-07","cited_by_count":217,"area":null},{"id":"2305.20088","title":"Improving CLIP Training with Language Rewrites","created":"2023-05-31","cited_by_count":217,"area":null},{"id":"2103.16607","title":"Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data","created":"2021-03-30","cited_by_count":215,"area":null},{"id":"2103.01988","title":"Self-supervised Pretraining of Visual Features in the Wild","created":"2021-03-02","cited_by_count":198,"area":null},{"id":"2111.10050","title":"Combined Scaling for Zero-shot Transfer Learning","created":"2021-11-19","cited_by_count":182,"area":null},{"id":"2106.09667","title":"Poisoning and Backdooring Contrastive Learning","created":"2021-06-17","cited_by_count":151,"area":null},{"id":"2209.15639","title":"F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models","created":"2022-09-30","cited_by_count":150,"area":null},{"id":"2204.02174","title":"Multi-View Transformer for 3D Visual Grounding","created":"2022-04-05","cited_by_count":140,"area":null},{"id":"2112.10740","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","created":"2021-12-20","cited_by_count":117,"area":null},{"id":"2201.08371","title":"Revisiting Weakly Supervised Pre-Training of Visual Perception Models","created":"2022-01-20","cited_by_count":116,"area":null},{"id":"2206.09541","title":"DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations","created":"2022-06-20","cited_by_count":102,"area":null},{"id":"2201.06289","title":"The CLEAR Benchmark: Continual LEArning on Real-World Imagery","created":"2022-01-17","cited_by_count":93,"area":null},{"id":"2301.06267","title":"Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models","created":"2023-01-16","cited_by_count":91,"area":null},{"id":"2305.07011","title":"Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers","created":"2023-05-11","cited_by_count":91,"area":null},{"id":"2211.12498","title":"Touch and Go: Learning from Human-Collected Vision and Touch","created":"2022-11-22","cited_by_count":87,"area":null},{"id":"2106.09708","title":"Multi-Label Learning from Single Positive Labels","created":"2021-06-17","cited_by_count":81,"area":null},{"id":"2412.16334","title":"DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment","created":"2024-12-20","cited_by_count":79,"area":null},{"id":"2103.10948","title":"The Shape of Learning Curves: a Review","created":"2021-03-19","cited_by_count":70,"area":null},{"id":"2109.02227","title":"Learning to Generate Scene Graph from Natural Language Supervision","created":"2021-09-06","cited_by_count":64,"area":null},{"id":"2406.10729","title":"A Comprehensive Survey of Foundation Models in Medicine","created":"2024-06-15","cited_by_count":56,"area":null},{"id":"2210.12209","title":"Motion Policy Networks","created":"2022-10-21","cited_by_count":55,"area":null},{"id":"2103.13318","title":"Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types","created":"2021-03-24","cited_by_count":54,"area":null},{"id":"2205.02300","title":"P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision","created":"2022-05-04","cited_by_count":52,"area":null},{"id":"2409.03757","title":"Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding","created":"2024-09-05","cited_by_count":49,"area":null},{"id":"2112.10941","title":"Structured Semantic Transfer for Multi-Label Recognition with Partial Labels","created":"2021-12-21","cited_by_count":41,"area":null},{"id":"2305.13689","title":"Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training","created":"2023-05-23","cited_by_count":39,"area":null},{"id":"2101.05913","title":"Supervised Transfer Learning at Scale for Medical Imaging","created":"2021-01-14","cited_by_count":38,"area":null},{"id":"2410.16512","title":"TIPS: Text-Image Pretraining with Spatial awareness","created":"2024-10-21","cited_by_count":37,"area":null},{"id":"2112.09445","title":"Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation","created":"2021-12-17","cited_by_count":36,"area":null},{"id":"2306.07196","title":"Retrieval-Enhanced Contrastive Vision-Text Models","created":"2023-06-12","cited_by_count":36,"area":null},{"id":"2403.19596","title":"LocCa: Visual Pretraining with Location-aware Captioners","created":"2024-03-28","cited_by_count":35,"area":null},{"id":"2303.12793","title":"CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning","created":"2023-03-22","cited_by_count":33,"area":null},{"id":"2309.00775","title":"Contrastive Feature Masking Open-Vocabulary Vision Transformer","created":"2023-09-02","cited_by_count":31,"area":null},{"id":"2106.15610","title":"An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild","created":"2021-06-29","cited_by_count":30,"area":null},{"id":"2203.02172","title":"Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels","created":"2022-03-04","cited_by_count":29,"area":null},{"id":"2311.16081","title":"ViT-Lens: Towards Omni-modal Representations","created":"2023-11-27","cited_by_count":29,"area":null},{"id":"2302.10909","title":"Multi-modal Machine Learning in Engineering Design: A Review and Future Directions","created":"2023-02-14","cited_by_count":27,"area":null},{"id":"2202.07603","title":"Fairness Indicators for Systematic Assessments of Visual Feature Extractors","created":"2022-02-15","cited_by_count":24,"area":null},{"id":"2112.01832","title":"Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval","created":"2021-12-03","cited_by_count":23,"area":null},{"id":"2106.16245","title":"How to Train Your MAML to Excel in Few-Shot Classification","created":"2021-06-30","cited_by_count":22,"area":null},{"id":"2308.01890","title":"DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations","created":"2023-08-03","cited_by_count":22,"area":null},{"id":"2305.11596","title":"Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation","created":"2023-05-19","cited_by_count":21,"area":null},{"id":"2401.00421","title":"From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion","created":"2023-12-31","cited_by_count":20,"area":null},{"id":"2104.08313","title":"Does language help generalization in vision models?","created":"2021-04-16","cited_by_count":19,"area":null},{"id":"2112.13884","title":"A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision","created":"2021-12-27","cited_by_count":19,"area":null},{"id":"2205.11131","title":"Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels","created":"2022-05-23","cited_by_count":19,"area":null},{"id":"2110.02687","title":"Objects in Semantic Topology","created":"2021-10-06","cited_by_count":18,"area":null},{"id":"2301.04647","title":"EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata","created":"2023-01-11","cited_by_count":17,"area":null},{"id":"2304.10539","title":"Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels","created":"2023-04-20","cited_by_count":17,"area":null},{"id":"2506.00343","title":"The iNaturalist Sounds Dataset","created":"2025-05-31","cited_by_count":17,"area":null},{"id":"2104.02638","title":"Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark","created":"2021-04-06","cited_by_count":16,"area":null},{"id":"2203.13371","title":"FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot Video Understanding Tasks","created":"2022-03-24","cited_by_count":16,"area":null},{"id":"2205.12702","title":"Detecting Label Errors by using Pre-Trained Language Models","created":"2022-05-25","cited_by_count":16,"area":null},{"id":"2304.06028","title":"RECLIP: Resource-efficient CLIP by Training with Small Images","created":"2023-04-12","cited_by_count":16,"area":null},{"id":"2312.10439","title":"Simple Image-level Classification Improves Open-vocabulary Object Detection","created":"2023-12-16","cited_by_count":15,"area":null},{"id":"2212.00784","title":"Improving Zero-Shot Models with Label Distribution Priors","created":"2022-12-01","cited_by_count":14,"area":null},{"id":"2306.00595","title":"Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective","created":"2023-06-01","cited_by_count":14,"area":null},{"id":"2104.07767","title":"Exploring Visual Engagement Signals for Representation Learning","created":"2021-04-15","cited_by_count":12,"area":null},{"id":"2204.10760","title":"iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition","created":"2022-04-22","cited_by_count":12,"area":null},{"id":"2304.01830","title":"Learning to Name Classes for Vision and Language Models","created":"2023-04-04","cited_by_count":12,"area":null},{"id":"2109.04699","title":"EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling","created":"2021-09-10","cited_by_count":10,"area":null},{"id":"2308.15939","title":"Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization","created":"2023-08-30","cited_by_count":10,"area":null},{"id":"2212.09321","title":"Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features","created":"2022-12-19","cited_by_count":9,"area":null},{"id":"2102.08747","title":"Learning Visual Models using a Knowledge Graph as a Trainer","created":"2021-02-17","cited_by_count":8,"area":null},{"id":"2109.02688","title":"Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification","created":"2021-09-06","cited_by_count":7,"area":null},{"id":"2112.07133","title":"CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision","created":"2021-12-14","cited_by_count":7,"area":null},{"id":"2201.11794","title":"A Survey on Visual Transfer Learning using Knowledge Graphs","created":"2022-01-27","cited_by_count":7,"area":null},{"id":"2210.11469","title":"G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification","created":"2022-10-20","cited_by_count":7,"area":null},{"id":"2306.16016","title":"Positive Label Is All You Need for Multi-Label Classification","created":"2023-06-28","cited_by_count":7,"area":null},{"id":"2108.00114","title":"On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models","created":"2021-07-31","cited_by_count":6,"area":null},{"id":"2108.11950","title":"LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision","created":"2021-08-26","cited_by_count":6,"area":null},{"id":"2203.08764","title":"X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation","created":"2022-03-16","cited_by_count":6,"area":null},{"id":"2205.13092","title":"Dual-Perspective Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels","created":"2022-05-26","cited_by_count":6,"area":null},{"id":"2308.16900","title":"Learning to Taste: A Multimodal Wine Dataset","created":"2023-08-31","cited_by_count":6,"area":null},{"id":"2207.13061","title":"NewsStories: Illustrating articles with visual summaries","created":"2022-07-26","cited_by_count":5,"area":null},{"id":"2210.13651","title":"An Effective Approach for Multi-label Classification with Missing Labels","created":"2022-10-24","cited_by_count":5,"area":null},{"id":"2212.09408","title":"Universal Object Detection with Large Vision Model","created":"2022-12-19","cited_by_count":5,"area":null},{"id":"2302.12304","title":"Uncertainty Injection: A Deep Learning Method for Robust Optimization","created":"2023-02-23","cited_by_count":5,"area":null},{"id":"2309.12056","title":"BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision","created":"2023-09-21","cited_by_count":5,"area":null},{"id":"2311.11293","title":"From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web","created":"2023-11-19","cited_by_count":5,"area":null},{"id":"2403.10499","title":"Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study","created":"2024-03-15","cited_by_count":5,"area":null},{"id":"2605.30350","title":"DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation","created":"2026-05-28","cited_by_count":5,"area":null},{"id":"2105.11373","title":"Large-Scale Attribute-Object Compositions","created":"2021-05-24","cited_by_count":4,"area":null},{"id":"2306.01268","title":"DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning","created":"2023-06-02","cited_by_count":4,"area":null},{"id":"2504.07336","title":"Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging","created":"2025-04-09","cited_by_count":4,"area":null},{"id":"2512.14480","title":"SuperCLIP: CLIP with Simple Classification Supervision","created":"2025-12-16","cited_by_count":4,"area":null},{"id":"2102.04652","title":"Large Scale Long-tailed Product Recognition System at Alibaba","created":"2021-02-09","cited_by_count":3,"area":null},{"id":"2104.03309","title":"Streaming Self-Training via Domain-Agnostic Unlabeled Images","created":"2021-04-07","cited_by_count":3,"area":null}],"next_cursor":"100"}