{"total":52,"rows":[{"id":"2304.02643","title":"Segment Anything","created":"2023-04-05","cited_by_count":8234,"area":null},{"id":"2304.12620","title":"Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation","created":"2023-04-25","cited_by_count":490,"area":null},{"id":"2304.10517","title":"Segment Anything Model for Medical Image Analysis: an Experimental Study","created":"2023-04-20","cited_by_count":291,"area":null},{"id":"2304.03284","title":"SegGPT: Segmenting Everything In Context","created":"2023-04-06","cited_by_count":194,"area":null},{"id":"2102.06583","title":"Reviving Iterative Training with Mask Guidance for Interactive Segmentation","created":"2021-02-12","cited_by_count":163,"area":null},{"id":"2204.02574","title":"FocalClick: Towards Practical Interactive Image Segmentation","created":"2022-04-06","cited_by_count":102,"area":null},{"id":"2305.02677","title":"Caption Anything: Interactive Image Description with Diverse Multimodal Controls","created":"2023-05-04","cited_by_count":99,"area":null},{"id":"2207.05282","title":"PseudoClick: Interactive Image Segmentation with Click Imitation","created":"2022-07-12","cited_by_count":42,"area":null},{"id":"2109.09406","title":"EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow","created":"2021-09-20","cited_by_count":40,"area":null},{"id":"2306.00977","title":"AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation","created":"2023-06-01","cited_by_count":33,"area":null},{"id":"2311.13964","title":"Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy","created":"2023-11-23","cited_by_count":27,"area":null},{"id":"2204.07183","title":"Interactive Object Segmentation in 3D Point Clouds","created":"2022-04-14","cited_by_count":23,"area":null},{"id":"2410.04842","title":"A Simple Image Segmentation Framework via In-Context Examples","created":"2024-10-07","cited_by_count":19,"area":null},{"id":"2303.05620","title":"CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation","created":"2023-03-09","cited_by_count":17,"area":null},{"id":"2303.11880","title":"Focused and Collaborative Feedback Integration for Interactive Image Segmentation","created":"2023-03-21","cited_by_count":17,"area":null},{"id":"2101.09014","title":"Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation","created":"2021-01-22","cited_by_count":14,"area":null},{"id":"2304.06668","title":"DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer","created":"2023-04-13","cited_by_count":14,"area":null},{"id":"2106.15338","title":"Probabilistic Attention for Interactive Segmentation","created":"2021-06-23","cited_by_count":12,"area":null},{"id":"2210.08788","title":"EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle","created":"2022-10-17","cited_by_count":10,"area":null},{"id":"2303.11320","title":"ScribbleSeg: Scribble-based Interactive Image Segmentation","created":"2023-03-20","cited_by_count":10,"area":null},{"id":"2404.08421","title":"Adapting the Segment Anything Model During Usage in Novel Situations","created":"2024-04-12","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":"2109.07592","title":"UCP-Net: Unstructured Contour Points for Instance Segmentation","created":"2021-09-15","cited_by_count":7,"area":null},{"id":"2203.01784","title":"Revisiting Click-based Interactive Video Object Segmentation","created":"2022-03-03","cited_by_count":5,"area":null},{"id":"2303.06942","title":"Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images","created":"2023-03-13","cited_by_count":5,"area":null},{"id":"2402.05917","title":"Point-VOS: Pointing Up Video Object Segmentation","created":"2024-02-08","cited_by_count":5,"area":null},{"id":"2209.07163","title":"Morphology-Aware Interactive Keypoint Estimation","created":"2022-09-15","cited_by_count":4,"area":null},{"id":"2410.08206","title":"Interactive4D: Interactive 4D LiDAR Segmentation","created":"2024-10-10","cited_by_count":4,"area":null},{"id":"2106.10465","title":"Interactive Object Segmentation with Dynamic Click Transform","created":"2021-06-19","cited_by_count":3,"area":null},{"id":"2112.10969","title":"Generalizing Interactive Backpropagating Refinement for Dense Prediction","created":"2021-12-21","cited_by_count":3,"area":null},{"id":"2307.02280","title":"Interactive Image Segmentation with Cross-Modality Vision Transformers","created":"2023-07-05","cited_by_count":3,"area":null},{"id":"2307.10518","title":"Interactive Segmentation for Diverse Gesture Types Without Context","created":"2023-07-20","cited_by_count":3,"area":null},{"id":"2403.06401","title":"Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation","created":"2024-03-11","cited_by_count":3,"area":null},{"id":"2404.00335","title":"Learning Trimaps via Clicks for Image Matting","created":"2024-03-30","cited_by_count":3,"area":null},{"id":"2504.11024","title":"Easy3D: A Simple Yet Effective Method for 3D Interactive Segmentation","created":"2025-04-15","cited_by_count":3,"area":null},{"id":"2111.06162","title":"Clicking Matters:Towards Interactive Human Parsing","created":"2021-11-11","cited_by_count":2,"area":null},{"id":"2112.06454","title":"Split GCN: Effective Interactive Annotation for Segmentation of Disconnected Instance","created":"2021-12-13","cited_by_count":2,"area":null},{"id":"2205.08324","title":"Exploring the Interactive Guidance for Unified and Effective Image Matting","created":"2022-05-17","cited_by_count":2,"area":null},{"id":"2210.10984","title":"RAIS: Robust and Accurate Interactive Segmentation via Continual Learning","created":"2022-10-20","cited_by_count":2,"area":null},{"id":"2406.11472","title":"Learning from Exemplars for Interactive Image Segmentation","created":"2024-06-17","cited_by_count":2,"area":null},{"id":"2506.11170","title":"PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation","created":"2025-06-12","cited_by_count":2,"area":null},{"id":"2608.30420","title":"Whole-Slide Image Analysis under Realistic Few-Shot Annotation Protocols","created":"2026-08-31","cited_by_count":2,"area":null},{"id":"2112.12988","title":"iSeg3D: An Interactive 3D Shape Segmentation Tool","created":"2021-12-24","cited_by_count":1,"area":null},{"id":"2303.08689","title":"Panoptic One-Click Segmentation: Applied to Agricultural Data","created":"2023-03-15","cited_by_count":1,"area":null},{"id":"2310.10493","title":"Evaluation and improvement of Segment Anything Model for interactive histopathology image segmentation","created":"2023-10-16","cited_by_count":1,"area":null},{"id":"2408.03304","title":"Fusing Forces: Deep-Human-Guided Refinement of Segmentation Masks","created":"2024-08-06","cited_by_count":1,"area":null},{"id":"2507.07670","title":"Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment","created":"2025-07-10","cited_by_count":1,"area":null},{"id":"2604.06748","title":"From Static to Interactive: Adapting Visual in-Context Learners for User-Driven Tasks","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2310.16872","title":"SonoSAMTrack -- Segment and Track Anything on Ultrasound Images","created":"2023-10-25","cited_by_count":0,"area":null},{"id":"2312.14387","title":"Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation","created":"2023-12-22","cited_by_count":0,"area":null},{"id":"2503.17820","title":"RefCut: Interactive Segmentation with Reference Guidance","created":"2025-03-22","cited_by_count":0,"area":null},{"id":"2506.14686","title":"FocalClick-XL: Towards Unified and High-quality Interactive Segmentation","created":"2025-06-17","cited_by_count":0,"area":null}],"next_cursor":null}