{"total":167,"rows":[{"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":"2107.07651","title":"Align before Fuse: Vision and Language Representation Learning with Momentum Distillation","created":"2021-07-16","cited_by_count":1619,"area":null},{"id":"2111.10050","title":"Combined Scaling for Zero-shot Transfer Learning","created":"2021-11-19","cited_by_count":182,"area":null},{"id":"2210.06044","title":"Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning","created":"2022-10-12","cited_by_count":159,"area":null},{"id":"2101.05068","title":"Probabilistic Embeddings for Cross-Modal Retrieval","created":"2021-01-13","cited_by_count":151,"area":null},{"id":"2105.11450","title":"SAT: 2D Semantics Assisted Training for 3D Visual Grounding","created":"2021-05-24","cited_by_count":124,"area":null},{"id":"2101.01368","title":"Similarity Reasoning and Filtration for Image-Text Matching","created":"2021-01-05","cited_by_count":121,"area":null},{"id":"2108.02388","title":"TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding","created":"2021-08-05","cited_by_count":86,"area":null},{"id":"2203.08101","title":"ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity","created":"2022-03-15","cited_by_count":83,"area":null},{"id":"2308.13853","title":"Beyond One-to-One: Rethinking the Referring Image Segmentation","created":"2023-08-26","cited_by_count":68,"area":null},{"id":"2301.02311","title":"HierVL: Learning Hierarchical Video-Language Embeddings","created":"2023-01-05","cited_by_count":66,"area":null},{"id":"2101.00443","title":"Semantics for Robotic Mapping, Perception and Interaction: A Survey","created":"2021-01-02","cited_by_count":56,"area":null},{"id":"2104.14085","title":"Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering","created":"2021-04-29","cited_by_count":56,"area":null},{"id":"2209.13232","title":"A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective","created":"2022-09-27","cited_by_count":56,"area":null},{"id":"2203.14713","title":"Image-text Retrieval: A Survey on Recent Research and Development","created":"2022-03-28","cited_by_count":55,"area":null},{"id":"2205.08536","title":"Disentangling Visual Embeddings for Attributes and Objects","created":"2022-05-17","cited_by_count":55,"area":null},{"id":"2311.12751","title":"Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching","created":"2023-11-21","cited_by_count":42,"area":null},{"id":"2305.18171","title":"Improved Probabilistic Image-Text Representations","created":"2023-05-29","cited_by_count":40,"area":null},{"id":"2412.17007","title":"Where am I? Cross-View Geo-localization with Natural Language Descriptions","created":"2024-12-22","cited_by_count":38,"area":null},{"id":"2204.03359","title":"ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO","created":"2022-04-07","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":"2304.03391","title":"Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval","created":"2023-04-06","cited_by_count":36,"area":null},{"id":"2211.16761","title":"Improving Cross-Modal Retrieval with Set of Diverse Embeddings","created":"2022-11-30","cited_by_count":33,"area":null},{"id":"2203.16778","title":"ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval","created":"2022-03-31","cited_by_count":29,"area":null},{"id":"2206.00100","title":"VALHALLA: Visual Hallucination for Machine Translation","created":"2022-05-31","cited_by_count":27,"area":null},{"id":"2303.12419","title":"BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency","created":"2023-03-22","cited_by_count":27,"area":null},{"id":"2107.08685","title":"Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images","created":"2021-07-19","cited_by_count":26,"area":null},{"id":"2109.01812","title":"Stimuli-Aware Visual Emotion Analysis","created":"2021-09-04","cited_by_count":26,"area":null},{"id":"2211.13854","title":"ComCLIP: Training-Free Compositional Image and Text Matching","created":"2022-11-25","cited_by_count":26,"area":null},{"id":"2304.06275","title":"Noisy Correspondence Learning with Meta Similarity Correction","created":"2023-04-13","cited_by_count":26,"area":null},{"id":"2107.12090","title":"Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition","created":"2021-07-26","cited_by_count":24,"area":null},{"id":"2108.02417","title":"Structured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval","created":"2021-08-05","cited_by_count":23,"area":null},{"id":"2402.02045","title":"MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning","created":"2024-02-03","cited_by_count":23,"area":null},{"id":"2208.12526","title":"Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning","created":"2022-08-26","cited_by_count":22,"area":null},{"id":"2310.17468","title":"Cross-modal Active Complementary Learning with Self-refining Correspondence","created":"2023-10-26","cited_by_count":22,"area":null},{"id":"2103.05187","title":"Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning","created":"2021-03-09","cited_by_count":20,"area":null},{"id":"2104.08108","title":"Cross-Modal Retrieval Augmentation for Multi-Modal Classification","created":"2021-04-16","cited_by_count":20,"area":null},{"id":"2101.00419","title":"KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation","created":"2021-01-02","cited_by_count":19,"area":null},{"id":"2104.01894","title":"Talk, Don't Write: A Study of Direct Speech-Based Image Retrieval","created":"2021-04-05","cited_by_count":19,"area":null},{"id":"2203.03853","title":"Where Does the Performance Improvement Come From? -- A Reproducibility Concern about Image-Text Retrieval","created":"2022-03-08","cited_by_count":19,"area":null},{"id":"2110.12334","title":"SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network","created":"2021-10-24","cited_by_count":18,"area":null},{"id":"2403.11821","title":"A Survey on Quality Metrics for Text-to-Image Generation","created":"2024-03-18","cited_by_count":18,"area":null},{"id":"2211.07912","title":"YORO -- Lightweight End to End Visual Grounding","created":"2022-11-15","cited_by_count":17,"area":null},{"id":"2212.04119","title":"DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset","created":"2022-12-08","cited_by_count":17,"area":null},{"id":"2502.18495","title":"A Comprehensive Survey on Composed Image Retrieval","created":"2025-02-19","cited_by_count":17,"area":null},{"id":"2103.14242","title":"Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation","created":"2021-03-26","cited_by_count":16,"area":null},{"id":"2207.02796","title":"Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution","created":"2022-07-06","cited_by_count":16,"area":null},{"id":"2111.10747","title":"MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation","created":"2021-11-21","cited_by_count":14,"area":null},{"id":"2207.01426","title":"Dynamic Contrastive Distillation for Image-Text Retrieval","created":"2022-07-04","cited_by_count":14,"area":null},{"id":"2210.08908","title":"Cross-modal Semantic Enhanced Interaction for Image-Sentence Retrieval","created":"2022-10-17","cited_by_count":14,"area":null},{"id":"2106.11229","title":"AOMD: An Analogy-aware Approach to Offensive Meme Detection on Social Media","created":"2021-06-21","cited_by_count":13,"area":null},{"id":"2110.02623","title":"Is An Image Worth Five Sentences? A New Look into Semantics for Image-Text Matching","created":"2021-10-06","cited_by_count":13,"area":null},{"id":"2208.09843","title":"CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval","created":"2022-08-21","cited_by_count":13,"area":null},{"id":"2301.06844","title":"USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval","created":"2023-01-17","cited_by_count":13,"area":null},{"id":"2303.11755","title":"LIMITR: Leveraging Local Information for Medical Image-Text Representation","created":"2023-03-21","cited_by_count":13,"area":null},{"id":"2404.03539","title":"Is CLIP the main roadblock for fine-grained open-world perception?","created":"2024-04-04","cited_by_count":13,"area":null},{"id":"2102.04980","title":"Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval","created":"2021-02-09","cited_by_count":12,"area":null},{"id":"2104.07767","title":"Exploring Visual Engagement Signals for Representation Learning","created":"2021-04-15","cited_by_count":12,"area":null},{"id":"2403.05105","title":"Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval","created":"2024-03-08","cited_by_count":11,"area":null},{"id":"2406.11820","title":"Composing Object Relations and Attributes for Image-Text Matching","created":"2024-06-17","cited_by_count":11,"area":null},{"id":"2303.13371","title":"Plug-and-Play Regulators for Image-Text Matching","created":"2023-03-23","cited_by_count":10,"area":null},{"id":"2304.10824","title":"Rethinking Benchmarks for Cross-modal Image-text Retrieval","created":"2023-04-21","cited_by_count":10,"area":null},{"id":"2306.08789","title":"Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training","created":"2023-06-15","cited_by_count":10,"area":null},{"id":"2308.04380","title":"Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination","created":"2023-08-08","cited_by_count":10,"area":null},{"id":"2111.07180","title":"Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning","created":"2021-11-13","cited_by_count":9,"area":null},{"id":"2304.12570","title":"Learnable Pillar-based Re-ranking for Image-Text Retrieval","created":"2023-04-25","cited_by_count":9,"area":null},{"id":"2312.05777","title":"Negative Pre-aware for Noisy Cross-modal Matching","created":"2023-12-10","cited_by_count":9,"area":null},{"id":"2502.15682","title":"ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval","created":"2025-02-21","cited_by_count":9,"area":null},{"id":"2102.01860","title":"L2C: Describing Visual Differences Needs Semantic Understanding of Individuals","created":"2021-02-03","cited_by_count":8,"area":null},{"id":"2104.10406","title":"Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching","created":"2021-04-21","cited_by_count":8,"area":null},{"id":"2308.01236","title":"Grounded Image Text Matching with Mismatched Relation Reasoning","created":"2023-08-02","cited_by_count":8,"area":null},{"id":"2308.04343","title":"Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval","created":"2023-08-08","cited_by_count":8,"area":null},{"id":"2308.14009","title":"Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment","created":"2023-08-27","cited_by_count":8,"area":null},{"id":"2405.19581","title":"Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases","created":"2024-05-30","cited_by_count":8,"area":null},{"id":"2407.03958","title":"Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge","created":"2024-07-04","cited_by_count":8,"area":null},{"id":"2503.06974","title":"Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment","created":"2025-03-10","cited_by_count":8,"area":null},{"id":"2203.03809","title":"Image Search with Text Feedback by Additive Attention Compositional Learning","created":"2022-03-08","cited_by_count":7,"area":null},{"id":"2204.12067","title":"An Overview of Recent Work in Media Forensics: Methods and Threats","created":"2022-04-26","cited_by_count":7,"area":null},{"id":"2306.08173","title":"Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training","created":"2023-06-13","cited_by_count":7,"area":null},{"id":"2308.15846","title":"Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection","created":"2023-08-30","cited_by_count":7,"area":null},{"id":"2412.19142","title":"CLIP-GS: Unifying Vision-Language Representation with 3D Gaussian Splatting","created":"2024-12-26","cited_by_count":7,"area":null},{"id":"2202.07901","title":"Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition","created":"2022-02-16","cited_by_count":6,"area":null},{"id":"2212.08281","title":"HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval","created":"2022-12-16","cited_by_count":6,"area":null},{"id":"2506.18246","title":"Referring Expression Instance Retrieval and A Strong End-to-End Baseline","created":"2025-06-23","cited_by_count":6,"area":null},{"id":"2104.02381","title":"Scene Graph Embeddings Using Relative Similarity Supervision","created":"2021-04-06","cited_by_count":5,"area":null},{"id":"2203.01445","title":"LILE: Look In-Depth before Looking Elsewhere -- A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives","created":"2022-03-02","cited_by_count":5,"area":null},{"id":"2207.14205","title":"DoRO: Disambiguation of referred object for embodied agents","created":"2022-07-28","cited_by_count":5,"area":null},{"id":"2207.14428","title":"Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval","created":"2022-07-29","cited_by_count":5,"area":null},{"id":"2207.14757","title":"ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval","created":"2022-07-29","cited_by_count":5,"area":null},{"id":"2208.09596","title":"Vision-Language Matching for Text-to-Image Synthesis via Generative Adversarial Networks","created":"2022-08-20","cited_by_count":5,"area":null},{"id":"2304.00719","title":"Multi-Modal Representation Learning with Text-Driven Soft Masks","created":"2023-04-03","cited_by_count":5,"area":null},{"id":"2309.14999","title":"Object-Centric Open-Vocabulary Image-Retrieval with Aggregated Features","created":"2023-09-26","cited_by_count":5,"area":null},{"id":"2312.16478","title":"Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation","created":"2023-12-27","cited_by_count":5,"area":null},{"id":"2412.10761","title":"Rebalanced Vision-Language Retrieval Considering Structure-Aware Distillation","created":"2024-12-14","cited_by_count":5,"area":null},{"id":"2106.00358","title":"Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features","created":"2021-06-01","cited_by_count":4,"area":null},{"id":"2109.05523","title":"Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval","created":"2021-09-12","cited_by_count":4,"area":null},{"id":"2111.05814","title":"SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval","created":"2021-11-10","cited_by_count":4,"area":null},{"id":"2111.14547","title":"LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering","created":"2021-11-29","cited_by_count":4,"area":null},{"id":"2112.15362","title":"Modeling Mask Uncertainty in Hyperspectral Image Reconstruction","created":"2021-12-31","cited_by_count":4,"area":null},{"id":"2303.14153","title":"Local Contrastive Learning for Medical Image Recognition","created":"2023-03-24","cited_by_count":4,"area":null}],"next_cursor":"100"}