{"total":66,"rows":[{"id":"2311.06242","title":"Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks","created":"2023-11-10","cited_by_count":410,"area":null},{"id":"2303.09540","title":"SemDeDup: Data-efficient learning at web-scale through semantic deduplication","created":"2023-03-16","cited_by_count":303,"area":null},{"id":"2312.08578","title":"A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions","created":"2023-12-14","cited_by_count":108,"area":null},{"id":"2309.16058","title":"AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model","created":"2023-09-27","cited_by_count":93,"area":null},{"id":"2305.07017","title":"An Inverse Scaling Law for CLIP Training","created":"2023-05-11","cited_by_count":77,"area":null},{"id":"2304.06708","title":"Verbs in Action: Improving verb understanding in video-language models","created":"2023-04-13","cited_by_count":76,"area":null},{"id":"2308.08428","title":"ALIP: Adaptive Language-Image Pre-training with Synthetic Caption","created":"2023-08-16","cited_by_count":70,"area":null},{"id":"2310.15200","title":"Open-Set Image Tagging with Multi-Grained Text Supervision","created":"2023-10-23","cited_by_count":67,"area":null},{"id":"2308.14746","title":"CoVR-2: Automatic Data Construction for Composed Video Retrieval","created":"2023-08-28","cited_by_count":52,"area":null},{"id":"2404.18947","title":"Multimodal Fusion on Low-quality Data: A Comprehensive Survey","created":"2024-04-27","cited_by_count":49,"area":null},{"id":"2307.03132","title":"T-MARS: Improving Visual Representations by Circumventing Text Feature Learning","created":"2023-07-06","cited_by_count":43,"area":null},{"id":"2409.19483","title":"MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation","created":"2024-09-28","cited_by_count":39,"area":null},{"id":"2403.20253","title":"MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation","created":"2024-03-29","cited_by_count":37,"area":null},{"id":"2401.04578","title":"Effective pruning of web-scale datasets based on complexity of concept clusters","created":"2024-01-09","cited_by_count":34,"area":null},{"id":"2406.17711","title":"Data curation via joint example selection further accelerates multimodal learning","created":"2024-06-25","cited_by_count":33,"area":null},{"id":"2403.16997","title":"Composed Video Retrieval via Enriched Context and Discriminative Embeddings","created":"2024-03-25","cited_by_count":26,"area":null},{"id":"2505.19650","title":"Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval","created":"2025-05-26","cited_by_count":26,"area":null},{"id":"2503.08723","title":"Is CLIP ideal? No. Can we fix it? Yes!","created":"2025-03-10","cited_by_count":21,"area":null},{"id":"2503.19910","title":"CoLLM: A Large Language Model for Composed Image Retrieval","created":"2025-03-25","cited_by_count":21,"area":null},{"id":"2311.12919","title":"SPOT! Revisiting Video-Language Models for Event Understanding","created":"2023-11-21","cited_by_count":20,"area":null},{"id":"2305.05095","title":"Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness","created":"2023-05-08","cited_by_count":19,"area":null},{"id":"2308.07545","title":"Vision-Language Dataset Distillation","created":"2023-08-15","cited_by_count":19,"area":null},{"id":"2309.15954","title":"The Devil is in the Details: A Deep Dive into the Rabbit Hole of Data Filtering","created":"2023-09-27","cited_by_count":19,"area":null},{"id":"2312.03631","title":"Mitigating Open-Vocabulary Caption Hallucinations","created":"2023-12-06","cited_by_count":19,"area":null},{"id":"2312.14232","title":"Parrot Captions Teach CLIP to Spot Text","created":"2023-12-21","cited_by_count":17,"area":null},{"id":"2405.16909","title":"A Cross-Dataset Study for Text-based 3D Human Motion Retrieval","created":"2024-05-27","cited_by_count":17,"area":null},{"id":"2405.10266","title":"A Tale of Two Languages: Large-Vocabulary Continuous Sign Language Recognition from Spoken Language Supervision","created":"2024-05-16","cited_by_count":15,"area":null},{"id":"2309.15535","title":"From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction","created":"2023-09-27","cited_by_count":14,"area":null},{"id":"2404.10292","title":"From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search","created":"2024-04-16","cited_by_count":14,"area":null},{"id":"2507.20025","title":"Region-based Cluster Discrimination for Visual Representation Learning","created":"2025-07-26","cited_by_count":13,"area":null},{"id":"2508.04379","title":"VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Vision Backbones","created":"2025-08-06","cited_by_count":12,"area":null},{"id":"2405.20606","title":"Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning","created":"2024-05-31","cited_by_count":11,"area":null},{"id":"2401.03040","title":"AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis","created":"2024-01-05","cited_by_count":10,"area":null},{"id":"2502.21318","title":"How far can we go with ImageNet for Text-to-Image generation?","created":"2025-02-28","cited_by_count":10,"area":null},{"id":"2507.14902","title":"U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs","created":"2025-07-20","cited_by_count":10,"area":null},{"id":"2309.16249","title":"FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding","created":"2023-09-28","cited_by_count":9,"area":null},{"id":"2405.01582","title":"Text Quality-Based Pruning for Efficient Training of Language Models","created":"2024-04-26","cited_by_count":9,"area":null},{"id":"2506.21233","title":"ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation","created":"2025-06-26","cited_by_count":9,"area":null},{"id":"2303.13148","title":"Calibrated Out-of-Distribution Detection with a Generic Representation","created":"2023-03-23","cited_by_count":8,"area":null},{"id":"2407.05795","title":"HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labels","created":"2024-07-08","cited_by_count":8,"area":null},{"id":"2310.01330","title":"Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association","created":"2023-10-02","cited_by_count":7,"area":null},{"id":"2407.06723","title":"Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions","created":"2024-07-09","cited_by_count":7,"area":null},{"id":"2502.12513","title":"RealSyn: An Effective and Scalable Multimodal Interleaved Document Transformation Paradigm","created":"2025-02-18","cited_by_count":7,"area":null},{"id":"2403.02875","title":"Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples","created":"2024-03-05","cited_by_count":6,"area":null},{"id":"2506.07643","title":"Synthetic Visual Genome","created":"2025-06-09","cited_by_count":6,"area":null},{"id":"2508.14039","title":"Beyond Simple Edits: Composed Video Retrieval with Dense Modifications","created":"2025-08-19","cited_by_count":6,"area":null},{"id":"2502.08211","title":"Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation","created":"2025-02-12","cited_by_count":5,"area":null},{"id":"2504.01476","title":"Enhanced Cross-modal 3D Retrieval via Tri-modal Reconstruction","created":"2025-04-02","cited_by_count":5,"area":null},{"id":"2305.05208","title":"Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data","created":"2023-05-09","cited_by_count":4,"area":null},{"id":"2506.05274","title":"From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos","created":"2025-06-05","cited_by_count":4,"area":null},{"id":"2503.08805","title":"Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining","created":"2025-03-11","cited_by_count":3,"area":null},{"id":"2603.02098","title":"Efficient and High-Fidelity Omni Modality Retrieval","created":"2026-03-02","cited_by_count":3,"area":null},{"id":"2312.08198","title":"Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems","created":"2023-12-13","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},{"id":"2405.08593","title":"Open-Vocabulary Object Detection via Neighboring Region Attention Alignment","created":"2024-05-14","cited_by_count":1,"area":null},{"id":"2406.02202","title":"No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs","created":"2024-06-04","cited_by_count":1,"area":null},{"id":"2510.08791","title":"Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2601.16582","title":"X-Aligner: Composed Visual Retrieval without the Bells and Whistles","created":"2026-01-23","cited_by_count":1,"area":null},{"id":"2608.22500","title":"Learning Sample-wise Rank-aware Interpolation Weights for Composed Visual Data Retrieval","created":"2026-08-23","cited_by_count":1,"area":null},{"id":"2403.01306","title":"ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation","created":"2024-03-02","cited_by_count":0,"area":null},{"id":"2407.17813","title":"Enhancing Model Performance: Another Approach to Vision-Language Instruction Tuning","created":"2024-07-25","cited_by_count":0,"area":null},{"id":"2409.15745","title":"ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification","created":"2024-09-24","cited_by_count":0,"area":null},{"id":"2509.12771","title":"Contrastive Learning with Enhanced Abstract Representations using Grouped Loss of Abstract Semantic Supervision","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2601.07163","title":"Test-time Adaptive Hierarchical Co-enhanced Denoising Network for Reliable Multimodal Classification","created":"2026-01-12","cited_by_count":0,"area":null},{"id":"2605.01163","title":"Multimodal Data Curation Through Ranked Retrieval","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2608.18521","title":"Which Negatives Matter? Ask Your Text Encoder: Adaptive Similarity Margins for Dense-Caption Retrieval","created":"2026-08-19","cited_by_count":0,"area":null}],"next_cursor":null}