{"total":150,"rows":[{"id":"2306.06687","title":"LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark","created":"2023-06-11","cited_by_count":169,"area":null},{"id":"2403.14610","title":"T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy","created":"2024-03-21","cited_by_count":94,"area":null},{"id":"2411.14347","title":"DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding","created":"2024-11-21","cited_by_count":89,"area":null},{"id":"2305.07304","title":"CLIP-Count: Towards Text-Guided Zero-Shot Object Counting","created":"2023-05-12","cited_by_count":83,"area":"mllm"},{"id":"2203.08354","title":"Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting","created":"2022-03-16","cited_by_count":80,"area":null},{"id":"2208.13721","title":"CounTR: Transformer-based Generalised Visual Counting","created":"2022-08-29","cited_by_count":79,"area":null},{"id":"2510.12798","title":"Detect Anything via Next Point Prediction","created":"2025-10-14","cited_by_count":73,"area":null},{"id":"2211.08217","title":"A Low-Shot Object Counting Network With Iterative Prototype Adaptation","created":"2022-11-15","cited_by_count":65,"area":null},{"id":"2305.08196","title":"A Comprehensive Survey on Segment Anything Model for Vision and Beyond","created":"2023-05-14","cited_by_count":64,"area":null},{"id":"2201.08959","title":"Few-shot Object Counting with Similarity-Aware Feature Enhancement","created":"2022-01-22","cited_by_count":62,"area":null},{"id":"2407.04619","title":"CountGD: Multi-Modal Open-World Counting","created":"2024-07-05","cited_by_count":59,"area":null},{"id":"2303.02001","title":"Zero-shot Object Counting","created":"2023-03-03","cited_by_count":57,"area":null},{"id":"2207.10988","title":"Few-shot Object Counting and Detection","created":"2022-07-22","cited_by_count":55,"area":null},{"id":"2404.16622","title":"DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting","created":"2024-04-25","cited_by_count":49,"area":null},{"id":"2312.16580","title":"VLCounter: Text-aware Visual Representation for Zero-Shot Object Counting","created":"2023-12-27","cited_by_count":45,"area":null},{"id":"2205.10203","title":"Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision","created":"2022-05-20","cited_by_count":41,"area":null},{"id":"2306.01851","title":"Open-world Text-specified Object Counting","created":"2023-06-02","cited_by_count":41,"area":null},{"id":"2311.12386","title":"Point, Segment and Count: A Generalized Framework for Object Counting","created":"2023-11-21","cited_by_count":39,"area":null},{"id":"2403.17830","title":"Assessment of Multimodal Large Language Models in Alignment with Human Values","created":"2024-03-26","cited_by_count":36,"area":"mllm"},{"id":"2307.00038","title":"Training-free Object Counting with Prompts","created":"2023-06-30","cited_by_count":34,"area":null},{"id":"2205.14212","title":"Exemplar Free Class Agnostic Counting","created":"2022-05-27","cited_by_count":32,"area":null},{"id":"2403.09333","title":"Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring","created":"2024-03-14","cited_by_count":29,"area":"mllm"},{"id":"2408.17267","title":"UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios","created":"2024-08-30","cited_by_count":28,"area":"mllm"},{"id":"2605.27365","title":"LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding","created":"2026-05-26","cited_by_count":28,"area":"mllm"},{"id":"2305.04440","title":"Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting","created":"2023-05-08","cited_by_count":25,"area":null},{"id":"2403.07304","title":"Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models","created":"2024-03-12","cited_by_count":24,"area":"mllm"},{"id":"2407.04948","title":"Zero-shot Object Counting with Good Exemplars","created":"2024-07-06","cited_by_count":21,"area":null},{"id":"2409.18686","title":"A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation","created":"2024-09-27","cited_by_count":21,"area":null},{"id":"2311.13596","title":"T-Rex: Counting by Visual Prompting","created":"2023-11-22","cited_by_count":20,"area":null},{"id":"2412.00686","title":"LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language Models","created":"2024-12-01","cited_by_count":20,"area":"mllm"},{"id":"2502.20625","title":"T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting","created":"2025-02-28","cited_by_count":19,"area":null},{"id":"2304.10817","title":"Can SAM Count Anything? An Empirical Study on SAM Counting","created":"2023-04-21","cited_by_count":18,"area":null},{"id":"2510.18876","title":"Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs","created":"2025-10-21","cited_by_count":18,"area":"mllm"},{"id":"2403.05435","title":"OmniCount: Multi-label Object Counting with Semantic-Geometric Priors","created":"2024-03-08","cited_by_count":16,"area":null},{"id":"2203.15266","title":"Interactive Multi-Class Tiny-Object Detection","created":"2022-03-29","cited_by_count":14,"area":null},{"id":"2112.05993","title":"Object Counting: You Only Need to Look at One","created":"2021-12-11","cited_by_count":13,"area":null},{"id":"2309.04820","title":"ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting","created":"2023-09-09","cited_by_count":13,"area":null},{"id":"2403.04943","title":"AFreeCA: Annotation-Free Counting for All","created":"2024-03-07","cited_by_count":12,"area":null},{"id":"2409.15953","title":"Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting","created":"2024-09-24","cited_by_count":11,"area":null},{"id":"2506.15368","title":"Open-World Object Counting in Videos","created":"2025-06-18","cited_by_count":11,"area":null},{"id":"2403.10236","title":"A Fixed-Point Approach to Unified Prompt-Based Counting","created":"2024-03-15","cited_by_count":10,"area":null},{"id":"2407.17085","title":"OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos","created":"2024-07-24","cited_by_count":10,"area":null},{"id":"2503.12460","title":"Exploring Contextual Attribute Density in Referring Expression Counting","created":"2025-03-16","cited_by_count":10,"area":null},{"id":"2508.00728","title":"YOLO-Count: Differentiable Object Counting for Text-to-Image Generation","created":"2025-08-01","cited_by_count":10,"area":null},{"id":"2309.13097","title":"Zero-Shot Object Counting with Language-Vision Models","created":"2023-09-22","cited_by_count":9,"area":null},{"id":"2309.05277","title":"Interactive Class-Agnostic Object Counting","created":"2023-09-11","cited_by_count":8,"area":null},{"id":"2411.19149","title":"Counting Stacked Objects","created":"2024-11-28","cited_by_count":8,"area":null},{"id":"2505.15818","title":"InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition","created":"2025-05-21","cited_by_count":8,"area":null},{"id":"2512.23351","title":"CountGD++: Generalized Prompting for Open-World Counting","created":"2025-12-29","cited_by_count":8,"area":null},{"id":"2501.19184","title":"A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches","created":"2025-01-31","cited_by_count":7,"area":null},{"id":"2509.13939","title":"Can Current AI Models Count What We Mean, Not What They See? A Benchmark and Systematic Evaluation","created":"2025-09-17","cited_by_count":7,"area":null},{"id":"2311.16122","title":"Semantic Generative Augmentations for Few-Shot Counting","created":"2023-10-26","cited_by_count":6,"area":"diffusion"},{"id":"2404.18459","title":"Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild","created":"2024-04-29","cited_by_count":6,"area":null},{"id":"2504.16570","title":"CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones","created":"2025-04-23","cited_by_count":6,"area":null},{"id":"2505.16778","title":"Single Domain Generalization for Few-Shot Counting via Universal Representation Matching","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2505.21943","title":"Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting","created":"2025-05-28","cited_by_count":6,"area":null},{"id":"2511.17722","title":"Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions","created":"2025-11-21","cited_by_count":6,"area":"mllm"},{"id":"2307.08727","title":"Learning to Count without Annotations","created":"2023-07-17","cited_by_count":5,"area":null},{"id":"2311.10011","title":"SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting","created":"2023-11-16","cited_by_count":5,"area":null},{"id":"2405.11770","title":"Learning Spatial Similarity Distribution for Few-shot Object Counting","created":"2024-05-20","cited_by_count":5,"area":null},{"id":"2506.09082","title":"AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models","created":"2025-06-10","cited_by_count":5,"area":null},{"id":"2507.01372","title":"Active Measurement: Efficient Estimation at Scale","created":"2025-07-02","cited_by_count":5,"area":null},{"id":"2511.08048","title":"Generalized-Scale Object Counting with Gradual Query Aggregation","created":"2025-11-11","cited_by_count":5,"area":null},{"id":"2606.10651","title":"Kwai Keye-VL-2.0 Technical Report","created":"2026-06-09","cited_by_count":5,"area":"agents"},{"id":"2302.05132","title":"GCNet: Probing Self-Similarity Learning for Generalized Counting Network","created":"2023-02-10","cited_by_count":4,"area":null},{"id":"2402.17514","title":"Robust Zero-Shot Crowd Counting and Localization With Adaptive Resolution SAM","created":"2024-02-27","cited_by_count":4,"area":null},{"id":"2408.11721","title":"Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models","created":"2024-08-21","cited_by_count":4,"area":"diffusion"},{"id":"2502.11874","title":"VAQUUM: Are Vague Quantifiers Grounded in Visual Data?","created":"2025-02-17","cited_by_count":4,"area":null},{"id":"2508.16644","title":"CountLoop: Training-Free High-Instance Image Generation via Iterative Agent Guidance","created":"2025-08-18","cited_by_count":4,"area":"diffusion"},{"id":"2312.15449","title":"iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds","created":"2023-12-24","cited_by_count":3,"area":null},{"id":"2312.17330","title":"Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild","created":"2023-12-28","cited_by_count":3,"area":null},{"id":"2403.01418","title":"A Simple-but-effective Baseline for Training-free Class-Agnostic Counting","created":"2024-03-03","cited_by_count":3,"area":null},{"id":"2411.19534","title":"QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain","created":"2024-11-29","cited_by_count":3,"area":null},{"id":"2509.22737","title":"CompareBench: A Benchmark for Visual Comparison Reasoning in Vision-Language Models","created":"2025-09-25","cited_by_count":3,"area":"lr"},{"id":"2510.12140","title":"Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration","created":"2025-10-14","cited_by_count":3,"area":null},{"id":"2603.00595","title":"UNICBench: UNIfied Counting Benchmark for MLLM","created":"2026-02-28","cited_by_count":3,"area":"mllm"},{"id":"2212.02248","title":"Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects","created":"2022-12-02","cited_by_count":2,"area":null},{"id":"2403.12466","title":"Few-shot Object Localization","created":"2024-03-19","cited_by_count":2,"area":null},{"id":"2404.19401","title":"UniFS: Universal Few-shot Instance Perception with Point Representations","created":"2024-04-30","cited_by_count":2,"area":null},{"id":"2405.02301","title":"TFCounter:Polishing Gems for Training-Free Object Counting","created":"2024-03-12","cited_by_count":2,"area":null},{"id":"2405.13518","title":"PerSense: Training-Free Personalized Instance Segmentation in Dense Images","created":"2024-05-22","cited_by_count":2,"area":null},{"id":"2408.09734","title":"Mutually-Aware Feature Learning for Few-Shot Object Counting","created":"2024-08-19","cited_by_count":2,"area":null},{"id":"2504.11705","title":"FiGO: Fine-Grained Object Counting without Annotations","created":"2025-04-16","cited_by_count":2,"area":null},{"id":"2504.17395","title":"SDVPT: Semantic-Driven Visual Prompt Tuning for Open-World Object Counting","created":"2025-04-24","cited_by_count":2,"area":"mllm"},{"id":"2505.22850","title":"What is the Right Embedding Space for Contrastive Learning in Referring Expression Counting?","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2507.04412","title":"SFOOD: A Multimodal Benchmark for Comprehensive Food Attribute Analysis Beyond RGB with Spectral Insights","created":"2025-07-06","cited_by_count":2,"area":null},{"id":"2507.06679","title":"Text-promptable Object Counting via Quantity Awareness Enhancement","created":"2025-07-09","cited_by_count":2,"area":"mllm"},{"id":"2508.14660","title":"Towards PerSense++: Advancing Training-Free Personalized Instance Segmentation in Dense Images","created":"2025-08-20","cited_by_count":2,"area":null},{"id":"2509.20857","title":"TasselNetV4: A vision foundation model for cross-scene, cross-scale, and cross-species plant counting","created":"2025-09-25","cited_by_count":2,"area":null},{"id":"2512.16243","title":"Semi-Supervised Multi-View Crowd Counting by Ranking Multi-View Fusion Models","created":"2025-12-18","cited_by_count":2,"area":null},{"id":"2602.12774","title":"Bootstrapping MLLM for Weakly-Supervised Class-Agnostic Object Counting","created":"2026-02-13","cited_by_count":2,"area":null},{"id":"2603.21229","title":"Plant Taxonomy Meets Plant Counting: A Fine-Grained, Taxonomic Dataset for Counting Hundreds of Plant Species","created":"2026-03-22","cited_by_count":2,"area":null},{"id":"2605.02752","title":"Does it Really Count? Assessing Semantic Grounding in Text-Guided Class-Agnostic Counting","created":"2026-05-04","cited_by_count":2,"area":null},{"id":"2210.07991","title":"Novel 3D Scene Understanding Applications From Recurrence in a Single Image","created":"2022-10-14","cited_by_count":1,"area":null},{"id":"2304.05255","title":"Density Map Distillation for Incremental Object Counting","created":"2023-04-11","cited_by_count":1,"area":null},{"id":"2309.12787","title":"EMS: 3D Eyebrow Modeling from Single-view Images","created":"2023-09-22","cited_by_count":1,"area":null},{"id":"2402.05394","title":"Enhancing Zero-shot Counting via Language-guided Exemplar Learning","created":"2024-02-08","cited_by_count":1,"area":null},{"id":"2406.12178","title":"FCA-RAC: First Cycle Annotated Repetitive Action Counting","created":"2024-06-18","cited_by_count":1,"area":null},{"id":"2411.02181","title":"Detect an Object At Once without Fine-tuning","created":"2024-11-04","cited_by_count":1,"area":null},{"id":"2505.15398","title":"Expanding Zero-Shot Object Counting with Rich Prompts","created":"2025-05-21","cited_by_count":1,"area":null}],"next_cursor":"100"}