{"total":24,"rows":[{"id":"2412.19080","title":"Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation","created":"2024-12-26","cited_by_count":15,"area":null},{"id":"2411.19492","title":"Diorama: Unleashing Zero-shot Single-view 3D Indoor Scene Modeling","created":"2024-11-29","cited_by_count":11,"area":null},{"id":"2412.18977","title":"CGCOD: Class-Guided Camouflaged Object Detection","created":"2024-12-25","cited_by_count":7,"area":null},{"id":"2501.06230","title":"BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation","created":"2025-01-08","cited_by_count":7,"area":null},{"id":"2510.21605","title":"S3OD: Towards Generalizable Salient Object Detection with Synthetic Data","created":"2025-10-24","cited_by_count":6,"area":null},{"id":"2409.02567","title":"Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation","created":"2024-09-04","cited_by_count":5,"area":null},{"id":"2504.03306","title":"Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection","created":"2025-04-04","cited_by_count":5,"area":null},{"id":"2509.16170","title":"UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation","created":"2025-09-19","cited_by_count":3,"area":null},{"id":"2502.09660","title":"Towards Fine-grained Interactive Segmentation in Images and Videos","created":"2025-02-12","cited_by_count":1,"area":null},{"id":"2503.06100","title":"High-Precision Dichotomous Image Segmentation via Depth Integrity-Prior and Fine-Grained Patch Strategy","created":"2025-03-08","cited_by_count":1,"area":null},{"id":"2507.22530","title":"HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors","created":"2025-07-30","cited_by_count":1,"area":null},{"id":"2508.01152","title":"LawDIS: Language-Window-based Controllable Dichotomous Image Segmentation","created":"2025-08-02","cited_by_count":1,"area":null},{"id":"2508.01641","title":"Minimal High-Resolution Patches Are Sufficient for Whole Slide Image Representation via Cascaded Dual-Scale Reconstruction","created":"2025-08-03","cited_by_count":1,"area":null},{"id":"2508.07797","title":"Power Battery Detection","created":"2025-08-11","cited_by_count":1,"area":null},{"id":"2510.15736","title":"Fix False Transparency by Noise Guided Splatting","created":"2025-10-17","cited_by_count":1,"area":null},{"id":"2512.22974","title":"RealCamo: Boosting Real Camouflage Synthesis with Layout Controls and Textual-Visual Guidance","created":"2025-12-28","cited_by_count":1,"area":null},{"id":"2607.00886","title":"Beyond Pixel Overlap: A Framework for Decomposing Segmentation Evaluation Metrics","created":"2026-07-01","cited_by_count":1,"area":null},{"id":"2505.22105","title":"Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2508.03197","title":"Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network","created":"2025-08-05","cited_by_count":0,"area":null},{"id":"2509.06839","title":"ToonOut: Fine-tuned Background-Removal for Anime Characters","created":"2025-09-08","cited_by_count":0,"area":null},{"id":"2510.26390","title":"SPG-CDENet: Spatial Prior-Guided Cross Dual Encoder Network for Multi-Organ Segmentation","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2601.12080","title":"Toward Real-World High-Precision Image Matting and Segmentation","created":"2026-01-17","cited_by_count":0,"area":null},{"id":"2601.12147","title":"Segment and Matte Anything in a Unified Model","created":"2026-01-17","cited_by_count":0,"area":null},{"id":"2609.09705","title":"Cross-Species Animal Re-Identification with Semantic Consistency Learning","created":"2026-09-09","cited_by_count":0,"area":null}],"next_cursor":null}