{"total":69,"rows":[{"id":"2304.05750","title":"Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications","created":"2023-04-12","cited_by_count":121,"area":null},{"id":"2401.03407","title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation","created":"2024-01-07","cited_by_count":112,"area":null},{"id":"2303.14816","title":"Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers","created":"2023-03-26","cited_by_count":87,"area":null},{"id":"2304.06022","title":"SAM Struggles in Concealed Scenes -- Empirical Study on Segment Anything","created":"2023-04-12","cited_by_count":75,"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":"2308.03166","title":"Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects","created":"2023-08-06","cited_by_count":56,"area":null},{"id":"2304.11234","title":"Advances in Deep Concealed Scene Understanding","created":"2023-04-21","cited_by_count":47,"area":null},{"id":"2409.01686","title":"Frequency-Spatial Entanglement Learning for Camouflaged Object Detection","created":"2024-09-03","cited_by_count":46,"area":null},{"id":"2408.14562","title":"A Survey of Camouflaged Object Detection and Beyond","created":"2024-08-26","cited_by_count":37,"area":null},{"id":"2501.18783","title":"RUN: Reversible Unfolding Network for Concealed Object Segmentation","created":"2025-01-30","cited_by_count":28,"area":null},{"id":"2402.18922","title":"A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection","created":"2024-02-29","cited_by_count":23,"area":null},{"id":"2408.15020","title":"Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection","created":"2024-08-27","cited_by_count":18,"area":null},{"id":"2303.10396","title":"Towards Diverse Binary Segmentation via A Simple yet General Gated Network","created":"2023-03-18","cited_by_count":17,"area":null},{"id":"2409.12421","title":"Frequency-Guided Spatial Adaptation for Camouflaged Object Detection","created":"2024-09-19","cited_by_count":15,"area":null},{"id":"2502.14471","title":"Integrating Extra Modality Helps Segmentor Find Camouflaged Objects Well","created":"2025-02-20","cited_by_count":14,"area":null},{"id":"2407.13157","title":"Learning Camouflaged Object Detection from Noisy Pseudo Label","created":"2024-07-18","cited_by_count":12,"area":null},{"id":"2403.01968","title":"Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection","created":"2024-03-04","cited_by_count":11,"area":null},{"id":"2506.07087","title":"UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning","created":"2025-06-08","cited_by_count":10,"area":null},{"id":"2311.17122","title":"Large Model Based Referring Camouflaged Object Detection","created":"2023-11-28","cited_by_count":8,"area":null},{"id":"2506.21101","title":"OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography","created":"2025-06-26","cited_by_count":8,"area":null},{"id":"2412.18977","title":"CGCOD: Class-Guided Camouflaged Object Detection","created":"2024-12-25","cited_by_count":7,"area":null},{"id":"2511.18164","title":"Nested Unfolding Network for Real-World Concealed Object Segmentation","created":"2025-11-22","cited_by_count":7,"area":null},{"id":"2408.12086","title":"Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and VisualAnalysis Strategy","created":"2024-08-22","cited_by_count":6,"area":null},{"id":"2504.10979","title":"Deep Learning in Concealed Dense Prediction","created":"2025-04-15","cited_by_count":6,"area":null},{"id":"2408.01835","title":"TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks","created":"2024-08-03","cited_by_count":5,"area":null},{"id":"2410.17598","title":"PlantCamo: Plant Camouflage Detection","created":"2024-10-23","cited_by_count":5,"area":null},{"id":"2510.18437","title":"Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection","created":"2025-10-21","cited_by_count":5,"area":null},{"id":"2602.01183","title":"Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion","created":"2026-02-01","cited_by_count":5,"area":null},{"id":"2307.10685","title":"Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection","created":"2023-07-20","cited_by_count":4,"area":null},{"id":"2405.02824","title":"Adaptive Guidance Learning for Camouflaged Object Detection","created":"2024-05-05","cited_by_count":4,"area":null},{"id":"2507.04705","title":"Identity-Preserving Text-to-Video Generation Guided by Simple yet Effective Spatial-Temporal Decoupled Representations","created":"2025-07-07","cited_by_count":4,"area":null},{"id":"2401.17803","title":"SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes","created":"2024-01-31","cited_by_count":3,"area":null},{"id":"2410.16953","title":"Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotations","created":"2024-10-22","cited_by_count":3,"area":null},{"id":"2505.19611","title":"Align and Surpass Human Camouflaged Perception: Visual Refocus Reinforcement Fine-Tuning","created":"2025-05-26","cited_by_count":3,"area":null},{"id":"2512.20260","title":"Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotations","created":"2025-12-23","cited_by_count":3,"area":null},{"id":"2602.19944","title":"Discover, Segment, and Select: A Progressive Mechanism for Zero-shot Camouflaged Object Segmentation","created":"2026-02-23","cited_by_count":3,"area":null},{"id":"2311.16618","title":"Cross-level Attention with Overlapped Windows for Camouflaged Object Detection","created":"2023-11-28","cited_by_count":2,"area":null},{"id":"2408.09097","title":"Depth-guided Texture Diffusion for Image Semantic Segmentation","created":"2024-08-17","cited_by_count":2,"area":null},{"id":"2511.12627","title":"C3Net: Context-Contrast Network for Camouflaged Object Detection","created":"2025-11-16","cited_by_count":2,"area":null},{"id":"2401.04357","title":"Iterative Feedback Network for Unsupervised Point Cloud Registration","created":"2024-01-09","cited_by_count":1,"area":null},{"id":"2502.13859","title":"MSVCOD:A Large-Scale Multi-Scene Dataset for Video Camouflage Object Detection","created":"2025-02-19","cited_by_count":1,"area":null},{"id":"2503.22180","title":"Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data","created":"2025-03-28","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":"2602.03591","title":"High-Resolution Underwater Camouflaged Object Detection: GBU-UCOD Dataset and Topology-Aware and Frequency-Decoupled Networks","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2603.22969","title":"FCL-COD: Weakly Supervised Camouflaged Object Detection with Frequency-aware and Contrastive Learning","created":"2026-03-24","cited_by_count":1,"area":null},{"id":"2605.25385","title":"Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance","created":"2026-05-25","cited_by_count":1,"area":null},{"id":"2404.08936","title":"Shifting Spotlight for Co-supervision: A Simple yet Efficient Single-branch Network to See Through Camouflage","created":"2024-04-13","cited_by_count":0,"area":null},{"id":"2406.05776","title":"Utilizing Grounded SAM for self-supervised frugal camouflaged human detection","created":"2024-06-09","cited_by_count":0,"area":null},{"id":"2408.01137","title":"PGNeXt: High-Resolution Salient Object Detection via Pyramid Grafting Network","created":"2024-08-02","cited_by_count":0,"area":null},{"id":"2410.06842","title":"SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategy","created":"2024-10-09","cited_by_count":0,"area":null},{"id":"2502.08373","title":"Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection","created":"2025-02-12","cited_by_count":0,"area":null},{"id":"2503.14035","title":"A Revisit to the Decoder for Camouflaged Object Detection","created":"2025-03-18","cited_by_count":0,"area":null},{"id":"2504.14481","title":"LSP-ST: Ladder Shape-Biased Side-Tuning for Robust Infrared Small Target Detection","created":"2025-04-20","cited_by_count":0,"area":null},{"id":"2506.15244","title":"Retrospective Memory for Camouflaged Object Detection","created":"2025-06-18","cited_by_count":0,"area":null},{"id":"2509.03786","title":"SLENet: A Guidance-Enhanced Network for Underwater Camouflaged Object Detection","created":"2025-09-04","cited_by_count":0,"area":null},{"id":"2509.11539","title":"SFGNet: Semantic and Frequency Guided Network for Camouflaged Object Detection","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2509.11727","title":"Microsurgical Instrument Segmentation for Robot-Assisted Surgery","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2510.04472","title":"SPEGNet: Synergistic Perception-Guided Network for Camouflaged Object Detection","created":"2025-10-06","cited_by_count":0,"area":null},{"id":"2510.24232","title":"Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2511.12810","title":"MSRNet: A Multi-Scale Recursive Network for Camouflaged Object Detection","created":"2025-11-16","cited_by_count":0,"area":null},{"id":"2511.20989","title":"RefOnce: Distilling References into a Prototype Memory for Referring Camouflaged Object Detection","created":"2025-11-26","cited_by_count":0,"area":null},{"id":"2604.12380","title":"Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2604.16147","title":"SWNet: A Cross-Spectral Network for Camouflaged Weed Detection","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2604.16582","title":"Camo-M3FD: A New Benchmark Dataset for Cross-Spectral Camouflaged Pedestrian Detection","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2605.02616","title":"Global-Local Feature Decoding with Adapter-Guided SAMv2 for Salient Object Detection","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2605.15450","title":"RIDE: Retinex-Informed Decoupling for Exposing Concealed Objects","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.25651","title":"Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2606.11231","title":"CFCamo: A Counterfactual Detect-or-Abstain Framework for Camouflaged Object Detection","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2609.12798","title":"LGFN: Lightweight Gated RGB-Polarization Fusion with Modality-Availability Conditioning for Camouflaged Object Detection","created":"2026-09-11","cited_by_count":0,"area":null}],"next_cursor":null}