{"total":135,"rows":[{"id":"2304.08485","title":"Visual Instruction Tuning","created":"2023-04-17","cited_by_count":7869,"area":null},{"id":"2303.15343","title":"Sigmoid Loss for Language Image Pre-Training","created":"2023-03-27","cited_by_count":3109,"area":null},{"id":"2205.01917","title":"CoCa: Contrastive Captioners are Image-Text Foundation Models","created":"2022-05-04","cited_by_count":1274,"area":null},{"id":"2304.06718","title":"Segment Everything Everywhere All at Once","created":"2023-04-13","cited_by_count":548,"area":null},{"id":"2205.14100","title":"GIT: A Generative Image-to-text Transformer for Vision and Language","created":"2022-05-27","cited_by_count":537,"area":null},{"id":"2204.14109","title":"TEMOS: Generating diverse human motions from textual descriptions","created":"2022-04-25","cited_by_count":492,"area":null},{"id":"2212.03191","title":"InternVideo: General Video Foundation Models via Generative and Discriminative Learning","created":"2022-12-06","cited_by_count":447,"area":null},{"id":"2303.14814","title":"WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation","created":"2023-03-26","cited_by_count":315,"area":null},{"id":"2212.11270","title":"Generalized Decoding for Pixel, Image, and Language","created":"2022-12-21","cited_by_count":294,"area":null},{"id":"2206.05836","title":"GLIPv2: Unifying Localization and Vision-Language Understanding","created":"2022-06-12","cited_by_count":275,"area":null},{"id":"2303.08131","title":"A Simple Framework for Open-Vocabulary Segmentation and Detection","created":"2023-03-14","cited_by_count":198,"area":null},{"id":"2307.04767","title":"Semantic-SAM: Segment and Recognize Anything at Any Granularity","created":"2023-07-10","cited_by_count":185,"area":null},{"id":"2309.03895","title":"InstructDiffusion: A Generalist Modeling Interface for Vision Tasks","created":"2023-09-07","cited_by_count":164,"area":null},{"id":"2209.07526","title":"OmniVL:One Foundation Model for Image-Language and Video-Language Tasks","created":"2022-09-15","cited_by_count":143,"area":null},{"id":"2204.08790","title":"ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models","created":"2022-04-19","cited_by_count":141,"area":null},{"id":"2306.07831","title":"Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images","created":"2023-06-13","cited_by_count":134,"area":null},{"id":"2307.05463","title":"EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone","created":"2023-07-11","cited_by_count":130,"area":null},{"id":"2307.13721","title":"Foundational Models Defining a New Era in Vision: A Survey and Outlook","created":"2023-07-25","cited_by_count":110,"area":null},{"id":"2311.17049","title":"MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training","created":"2023-11-28","cited_by_count":96,"area":null},{"id":"2401.18084","title":"Binding Touch to Everything: Learning Unified Multimodal Tactile Representations","created":"2024-01-31","cited_by_count":95,"area":null},{"id":"2309.12314","title":"TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance","created":"2023-09-21","cited_by_count":90,"area":null},{"id":"2212.05051","title":"VindLU: A Recipe for Effective Video-and-Language Pretraining","created":"2022-12-09","cited_by_count":87,"area":null},{"id":"2303.03032","title":"DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training","created":"2023-03-06","cited_by_count":84,"area":null},{"id":"2204.09222","title":"K-LITE: Learning Transferable Visual Models with External Knowledge","created":"2022-04-20","cited_by_count":79,"area":null},{"id":"2404.08181","title":"Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation","created":"2024-04-12","cited_by_count":77,"area":null},{"id":"2310.18689","title":"Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision","created":"2023-10-28","cited_by_count":76,"area":null},{"id":"2306.05268","title":"Factorized Contrastive Learning: Going Beyond Multi-view Redundancy","created":"2023-06-08","cited_by_count":75,"area":null},{"id":"2403.17007","title":"DreamLIP: Language-Image Pre-training with Long Captions","created":"2024-03-25","cited_by_count":72,"area":null},{"id":"2303.14080","title":"Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data","created":"2023-03-24","cited_by_count":69,"area":null},{"id":"2307.09220","title":"A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future","created":"2023-07-18","cited_by_count":61,"area":null},{"id":"2204.13861","title":"Where in the World is this Image? Transformer-based Geo-localization in the Wild","created":"2022-04-29","cited_by_count":58,"area":null},{"id":"2211.09808","title":"Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks","created":"2022-11-17","cited_by_count":57,"area":null},{"id":"2209.15172","title":"Understanding Pure CLIP Guidance for Voxel Grid NeRF Models","created":"2022-09-30","cited_by_count":56,"area":null},{"id":"2310.03923","title":"Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation","created":"2023-10-05","cited_by_count":54,"area":null},{"id":"2403.12532","title":"UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All","created":"2024-03-19","cited_by_count":49,"area":null},{"id":"2410.06542","title":"MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging","created":"2024-10-09","cited_by_count":46,"area":null},{"id":"2208.05318","title":"Generative Action Description Prompts for Skeleton-based Action Recognition","created":"2022-08-10","cited_by_count":43,"area":null},{"id":"2303.02982","title":"CLIP-guided Prototype Modulating for Few-shot Action Recognition","created":"2023-03-06","cited_by_count":41,"area":null},{"id":"2303.00106","title":"The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning","created":"2023-02-28","cited_by_count":27,"area":null},{"id":"2404.00225","title":"Heterogeneous Contrastive Learning for Foundation Models and Beyond","created":"2024-03-30","cited_by_count":27,"area":null},{"id":"2211.09778","title":"I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision","created":"2022-11-17","cited_by_count":26,"area":null},{"id":"2310.00927","title":"Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP","created":"2023-10-02","cited_by_count":26,"area":null},{"id":"2209.15210","title":"Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation","created":"2022-09-30","cited_by_count":25,"area":null},{"id":"2210.09304","title":"Non-Contrastive Learning Meets Language-Image Pre-Training","created":"2022-10-17","cited_by_count":25,"area":null},{"id":"2511.17803","title":"Pillar-0: A New Frontier for Radiology Foundation Models","created":"2025-11-21","cited_by_count":25,"area":null},{"id":"2306.15521","title":"What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation","created":"2023-06-27","cited_by_count":24,"area":null},{"id":"2212.08653","title":"Attentive Mask CLIP","created":"2022-12-16","cited_by_count":23,"area":null},{"id":"2312.11376","title":"CLIM: Contrastive Language-Image Mosaic for Region Representation","created":"2023-12-18","cited_by_count":21,"area":null},{"id":"2307.15904","title":"Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images","created":"2023-07-29","cited_by_count":19,"area":null},{"id":"2303.11325","title":"GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding","created":"2023-03-20","cited_by_count":17,"area":null},{"id":"2305.13167","title":"VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending","created":"2023-05-22","cited_by_count":17,"area":null},{"id":"2409.00122","title":"Brant-X: A Unified Physiological Signal Alignment Framework","created":"2024-08-28","cited_by_count":17,"area":null},{"id":"2306.04849","title":"ScaleDet: A Scalable Multi-Dataset Object Detector","created":"2023-06-08","cited_by_count":16,"area":null},{"id":"2504.16929","title":"I-Con: A Unifying Framework for Representation Learning","created":"2025-04-23","cited_by_count":16,"area":null},{"id":"2212.13738","title":"TempCLR: Temporal Alignment Representation with Contrastive Learning","created":"2022-12-28","cited_by_count":15,"area":null},{"id":"2310.13231","title":"Multi-level Contrastive Learning for Script-based Character Understanding","created":"2023-10-20","cited_by_count":15,"area":null},{"id":"2411.14452","title":"Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task","created":"2024-11-11","cited_by_count":15,"area":null},{"id":"2303.06580","title":"Towards General Purpose Medical AI: Continual Learning Medical Foundation Model","created":"2023-03-12","cited_by_count":14,"area":null},{"id":"2206.01125","title":"Prefix Conditioning Unifies Language and Label Supervision","created":"2022-06-02","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":"2308.14570","title":"SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images","created":"2023-08-28","cited_by_count":12,"area":null},{"id":"2308.15469","title":"Multimodal Contrastive Learning and Tabular Attention for Automated Alzheimer's Disease Prediction","created":"2023-08-29","cited_by_count":12,"area":null},{"id":"2309.14580","title":"CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss","created":"2023-09-26","cited_by_count":12,"area":null},{"id":"2404.05016","title":"Hyperbolic Learning with Synthetic Captions for Open-World Detection","created":"2024-04-07","cited_by_count":12,"area":null},{"id":"2406.11579","title":"Duoduo CLIP: Efficient 3D Understanding with Multi-View Images","created":"2024-06-17","cited_by_count":12,"area":null},{"id":"2407.19514","title":"Detached and Interactive Multimodal Learning","created":"2024-07-28","cited_by_count":11,"area":null},{"id":"2301.06958","title":"RILS: Masked Visual Reconstruction in Language Semantic Space","created":"2023-01-17","cited_by_count":10,"area":null},{"id":"2404.15653","title":"CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data","created":"2024-04-24","cited_by_count":10,"area":null},{"id":"2408.12023","title":"Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them","created":"2024-08-21","cited_by_count":10,"area":null},{"id":"2510.12709","title":"SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model","created":"2025-10-14","cited_by_count":10,"area":null},{"id":"2305.10547","title":"Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality","created":"2023-05-17","cited_by_count":9,"area":null},{"id":"2309.07471","title":"EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization","created":"2023-09-14","cited_by_count":9,"area":null},{"id":"2511.22470","title":"Hybrid, Unified and Iterative: A Novel Framework for Text-based Person Anomaly Retrieval","created":"2025-11-27","cited_by_count":9,"area":null},{"id":"2304.13027","title":"A Strong and Reproducible Object Detector with Only Public Datasets","created":"2023-04-25","cited_by_count":8,"area":null},{"id":"2404.09951","title":"Unifying Global and Local Scene Entities Modelling for Precise Action Spotting","created":"2024-04-15","cited_by_count":8,"area":null},{"id":"2305.17648","title":"Z-GMOT: Zero-shot Generic Multiple Object Tracking","created":"2023-05-28","cited_by_count":7,"area":null},{"id":"2306.07952","title":"MOFI: Learning Image Representations from Noisy Entity Annotated Images","created":"2023-06-13","cited_by_count":7,"area":null},{"id":"2212.10729","title":"UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering","created":"2022-12-21","cited_by_count":6,"area":null},{"id":"2401.12972","title":"On the Efficacy of Text-Based Input Modalities for Action Anticipation","created":"2024-01-23","cited_by_count":6,"area":null},{"id":"2409.01936","title":"Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment","created":"2024-09-03","cited_by_count":6,"area":null},{"id":"2206.10996","title":"ProtoCLIP: Prototypical Contrastive Language Image Pretraining","created":"2022-06-22","cited_by_count":5,"area":null},{"id":"2212.07937","title":"Visually-augmented pretrained language models for NLP tasks without images","created":"2022-12-15","cited_by_count":5,"area":null},{"id":"2506.05890","title":"Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation","created":"2025-06-06","cited_by_count":5,"area":null},{"id":"2509.12818","title":"Data Scaling Laws for Radiology Foundation Models","created":"2025-09-16","cited_by_count":5,"area":null},{"id":"2511.16170","title":"Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective","created":"2025-11-20","cited_by_count":5,"area":null},{"id":"2303.06458","title":"ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation","created":"2023-03-11","cited_by_count":4,"area":null},{"id":"2306.04715","title":"UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks","created":"2023-06-07","cited_by_count":4,"area":null},{"id":"2312.07532","title":"Interfacing Foundation Models' Embeddings","created":"2023-12-12","cited_by_count":4,"area":null},{"id":"2503.02841","title":"Boltzmann Attention Sampling for Image Analysis with Small Objects","created":"2025-03-04","cited_by_count":4,"area":null},{"id":"2506.08005","title":"ZeroVO: Visual Odometry with Minimal Assumptions","created":"2025-06-09","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":"2306.11898","title":"Relating tSNE and UMAP to Classical Dimensionality Reduction","created":"2023-06-20","cited_by_count":3,"area":null},{"id":"2404.08915","title":"PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification","created":"2024-04-13","cited_by_count":3,"area":null},{"id":"2408.14153","title":"Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions","created":"2024-08-26","cited_by_count":3,"area":null},{"id":"2409.08598","title":"Knowledge-Enhanced Facial Expression Recognition with Emotional-to-Neutral Transformation","created":"2024-09-13","cited_by_count":3,"area":null},{"id":"2410.13002","title":"Flex: End-to-End Text-Instructed Visual Navigation from Foundation Model Features","created":"2024-10-16","cited_by_count":3,"area":null},{"id":"2211.09013","title":"Masked Reconstruction Contrastive Learning with Information Bottleneck Principle","created":"2022-11-15","cited_by_count":2,"area":null},{"id":"2307.02712","title":"Multi-Similarity Contrastive Learning","created":"2023-07-06","cited_by_count":2,"area":null},{"id":"2309.07499","title":"Efficiently Robustify Pre-trained Models","created":"2023-09-14","cited_by_count":2,"area":null},{"id":"2406.09388","title":"Exploring the Spectrum of Visio-Linguistic Compositionality and Recognition","created":"2024-06-13","cited_by_count":2,"area":null}],"next_cursor":"100"}