{"total":18,"rows":[{"id":"2304.02643","title":"Segment Anything","created":"2023-04-05","cited_by_count":8234,"area":null},{"id":"2408.00714","title":"SAM 2: Segment Anything in Images and Videos","created":"2024-08-01","cited_by_count":2863,"area":null},{"id":"2303.11797","title":"CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation","created":"2023-03-21","cited_by_count":219,"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":"2411.00626","title":"ZIM: Zero-Shot Image Matting for Anything","created":"2024-11-01","cited_by_count":16,"area":null},{"id":"2503.12781","title":"SAM2 for Image and Video Segmentation: A Comprehensive Survey","created":"2025-03-17","cited_by_count":13,"area":null},{"id":"2311.15776","title":"Stable Segment Anything Model","created":"2023-11-27","cited_by_count":6,"area":null},{"id":"2501.04696","title":"Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation","created":"2025-01-08","cited_by_count":3,"area":null},{"id":"2308.10111","title":"Controllable Multi-domain Semantic Artwork Synthesis","created":"2023-08-19","cited_by_count":2,"area":null},{"id":"2505.15263","title":"gen2seg: Generative Models Enable Generalizable Instance Segmentation","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2412.01450","title":"Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey","created":"2024-12-02","cited_by_count":1,"area":null},{"id":"2503.16254","title":"M2N2V2: Multi-Modal Unsupervised and Training-free Interactive Segmentation","created":"2025-03-20","cited_by_count":1,"area":null},{"id":"2609.07884","title":"Are Image Generators Zero-Shot Perceivers? A Rigorous Evaluation","created":"2026-09-07","cited_by_count":1,"area":null},{"id":"2412.04580","title":"ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage","created":"2024-12-05","cited_by_count":0,"area":null},{"id":"2605.10603","title":"Segment Anything with Robust Uncertainty-Accuracy Correlation","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2606.10967","title":"Quo Vadis, Visual In-Context Learning? A Unified Benchmark Across Domains and Tasks","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2608.06142","title":"Learning visual representations for compositional analysis of artworks and photographs","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2609.34528","title":"Preference-Guided Adaptation for Open-Vocabulary Semantic Segmentation via Prompt Disagreement","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}