{"total":96,"rows":[{"id":"2304.03284","title":"SegGPT: Segmenting Everything In Context","created":"2023-04-06","cited_by_count":194,"area":null},{"id":"2302.11803","title":"A Comprehensive Survey on Source-free Domain Adaptation","created":"2023-02-23","cited_by_count":104,"area":null},{"id":"2303.14652","title":"Hierarchical Dense Correlation Distillation for Few-Shot Segmentation","created":"2023-03-26","cited_by_count":84,"area":null},{"id":"2402.17726","title":"VRP-SAM: SAM with Visual Reference Prompt","created":"2024-02-27","cited_by_count":75,"area":null},{"id":"2311.16926","title":"LLaFS: When Large Language Models Meet Few-Shot Segmentation","created":"2023-11-28","cited_by_count":48,"area":null},{"id":"2304.04748","title":"Exploring Effective Factors for Improving Visual In-Context Learning","created":"2023-04-10","cited_by_count":43,"area":null},{"id":"2410.06964","title":"Bridge the Points: Graph-based Few-shot Segment Anything Semantically","created":"2024-10-09","cited_by_count":35,"area":null},{"id":"2211.16191","title":"SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification","created":"2022-11-28","cited_by_count":34,"area":"mllm"},{"id":"2308.09294","title":"Self-Calibrated Cross Attention Network for Few-Shot Segmentation","created":"2023-08-18","cited_by_count":32,"area":null},{"id":"2401.08407","title":"Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining","created":"2024-01-16","cited_by_count":30,"area":null},{"id":"2303.14969","title":"Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching","created":"2023-03-27","cited_by_count":29,"area":null},{"id":"2305.13864","title":"MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation","created":"2023-05-23","cited_by_count":25,"area":null},{"id":"2307.03407","title":"Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation","created":"2023-07-07","cited_by_count":24,"area":null},{"id":"2307.02003","title":"Multi-Modal Prototypes for Open-World Semantic Segmentation","created":"2023-07-05","cited_by_count":22,"area":null},{"id":"2312.15715","title":"UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces","created":"2023-12-25","cited_by_count":22,"area":null},{"id":"2409.19613","title":"Hybrid Mamba for Few-Shot Segmentation","created":"2024-09-29","cited_by_count":21,"area":"ssm"},{"id":"2405.08458","title":"Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation","created":"2024-05-14","cited_by_count":20,"area":null},{"id":"2303.13867","title":"Few Shot Medical Image Segmentation with Cross Attention Transformer","created":"2023-03-24","cited_by_count":19,"area":null},{"id":"2308.07539","title":"Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond","created":"2023-08-15","cited_by_count":19,"area":null},{"id":"2407.09842","title":"Eliminating Feature Ambiguity for Few-Shot Segmentation","created":"2024-07-13","cited_by_count":19,"area":null},{"id":"2504.12080","title":"DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency","created":"2025-04-16","cited_by_count":15,"area":null},{"id":"2404.10322","title":"Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation","created":"2024-04-16","cited_by_count":14,"area":null},{"id":"2311.17626","title":"Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation","created":"2023-11-29","cited_by_count":13,"area":null},{"id":"2405.15265","title":"Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation","created":"2024-05-24","cited_by_count":13,"area":null},{"id":"2301.01156","title":"Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation","created":"2023-01-03","cited_by_count":12,"area":null},{"id":"2403.03063","title":"CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections","created":"2024-03-05","cited_by_count":12,"area":null},{"id":"2403.06488","title":"Query-guided Prototype Evolution Network for Few-Shot Segmentation","created":"2024-03-11","cited_by_count":12,"area":null},{"id":"2504.05058","title":"Not All Data Are Unlearned Equally","created":"2025-04-07","cited_by_count":12,"area":"safety"},{"id":"2505.14100","title":"Unlocking the Power of SAM 2 for Few-Shot Segmentation","created":"2025-05-20","cited_by_count":11,"area":null},{"id":"2409.10389","title":"Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation","created":"2024-09-16","cited_by_count":10,"area":null},{"id":"2309.11172","title":"Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation","created":"2023-09-20","cited_by_count":9,"area":null},{"id":"2303.13724","title":"Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation","created":"2023-03-24","cited_by_count":8,"area":null},{"id":"2402.16338","title":"BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM","created":"2024-02-26","cited_by_count":8,"area":null},{"id":"2503.21150","title":"The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation","created":"2025-03-27","cited_by_count":8,"area":null},{"id":"2505.21795","title":"SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation","created":"2025-05-27","cited_by_count":8,"area":null},{"id":"2306.11734","title":"Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation","created":"2023-05-29","cited_by_count":7,"area":null},{"id":"2506.07376","title":"Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation","created":"2025-06-09","cited_by_count":7,"area":null},{"id":"2211.14764","title":"Prototype as Query for Few Shot Semantic Segmentation","created":"2022-11-27","cited_by_count":6,"area":null},{"id":"2309.02041","title":"Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples","created":"2023-09-05","cited_by_count":6,"area":null},{"id":"2311.15776","title":"Stable Segment Anything Model","created":"2023-11-27","cited_by_count":6,"area":null},{"id":"2408.13752","title":"Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation","created":"2024-08-25","cited_by_count":6,"area":null},{"id":"2410.01110","title":"RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation","created":"2024-10-01","cited_by_count":6,"area":null},{"id":"2503.04006","title":"DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation","created":"2025-03-06","cited_by_count":6,"area":null},{"id":"2307.08434","title":"Dense Affinity Matching for Few-Shot Segmentation","created":"2023-07-17","cited_by_count":5,"area":null},{"id":"2309.05438","title":"Towards Content-based Pixel Retrieval in Revisited Oxford and Paris","created":"2023-09-11","cited_by_count":5,"area":null},{"id":"2312.04813","title":"DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation","created":"2023-12-08","cited_by_count":5,"area":null},{"id":"2309.08196","title":"ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection","created":"2023-09-15","cited_by_count":4,"area":null},{"id":"2502.01216","title":"Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models","created":"2025-02-03","cited_by_count":4,"area":null},{"id":"2504.21414","title":"Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining","created":"2025-04-30","cited_by_count":4,"area":null},{"id":"2309.11160","title":"Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation","created":"2023-09-20","cited_by_count":3,"area":null},{"id":"2404.11871","title":"Group-On: Boosting One-Shot Segmentation with Supportive Query","created":"2024-04-18","cited_by_count":3,"area":null},{"id":"2407.11503","title":"Beyond Mask: Rethinking Guidance Types in Few-shot Segmentation","created":"2024-07-16","cited_by_count":3,"area":null},{"id":"2409.06305","title":"High-Performance Few-Shot Segmentation with Foundation Models: An Empirical Study","created":"2024-09-10","cited_by_count":3,"area":null},{"id":"2410.09714","title":"AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model","created":"2024-10-13","cited_by_count":3,"area":null},{"id":"2506.21835","title":"ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts","created":"2025-06-27","cited_by_count":3,"area":null},{"id":"2604.05433","title":"Few-Shot Semantic Segmentation Meets SAM3","created":"2026-04-07","cited_by_count":3,"area":null},{"id":"2303.06304","title":"Multi-Content Interaction Network for Few-Shot Segmentation","created":"2023-03-11","cited_by_count":2,"area":null},{"id":"2310.07248","title":"IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchors","created":"2023-10-11","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":"2506.01519","title":"Speed-up of Vision Transformer Models by Attention-aware Token Filtering","created":"2025-06-02","cited_by_count":2,"area":null},{"id":"2408.06235","title":"Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images","created":"2024-08-12","cited_by_count":1,"area":null},{"id":"2507.02294","title":"ViRefSAM: Visual Reference-Guided Segment Anything Model for Remote Sensing Segmentation","created":"2025-07-03","cited_by_count":1,"area":null},{"id":"2507.19140","title":"Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation","created":"2025-07-25","cited_by_count":1,"area":null},{"id":"2509.07917","title":"Object-level Correlation for Few-Shot Segmentation","created":"2025-09-09","cited_by_count":1,"area":null},{"id":"2511.15118","title":"Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation","created":"2025-11-19","cited_by_count":1,"area":null},{"id":"2602.05218","title":"Boosting SAM for Cross-Domain Few-Shot Segmentation via Conditional Point Sparsification","created":"2026-02-05","cited_by_count":1,"area":null},{"id":"2603.05952","title":"Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation","created":"2026-03-06","cited_by_count":1,"area":null},{"id":"2603.27206","title":"Make It Up: Fake Images, Real Gains in Generalized Few-shot Semantic Segmentation","created":"2026-03-28","cited_by_count":1,"area":null},{"id":"2606.24297","title":"Training-free Cross-domain Few-shot Segmentation via Robust Semantic Representation and Matching","created":"2026-06-23","cited_by_count":1,"area":null},{"id":"2212.01131","title":"Activating the Discriminability of Novel Classes for Few-shot Segmentation","created":"2022-12-02","cited_by_count":0,"area":null},{"id":"2304.09630","title":"Few-shot Medical Image Segmentation via Cross-Reference Transformer","created":"2023-04-19","cited_by_count":0,"area":null},{"id":"2306.15278","title":"Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract","created":"2023-06-27","cited_by_count":0,"area":null},{"id":"2309.09492","title":"Target-aware Bi-Transformer for Few-shot Segmentation","created":"2023-09-18","cited_by_count":0,"area":null},{"id":"2309.15850","title":"Reflection Invariance Learning for Few-shot Semantic Segmentation","created":"2023-06-01","cited_by_count":0,"area":null},{"id":"2311.02734","title":"ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification","created":"2023-11-05","cited_by_count":0,"area":null},{"id":"2312.03322","title":"Background Clustering Pre-training for Few-shot Segmentation","created":"2023-12-06","cited_by_count":0,"area":null},{"id":"2406.11242","title":"Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware Hypergraph Diffusion","created":"2024-06-17","cited_by_count":0,"area":null},{"id":"2407.16182","title":"No Re-Train, More Gain: Upgrading Backbones with Diffusion model for Pixel-Wise and Weakly-Supervised Few-Shot Segmentation","created":"2024-07-23","cited_by_count":0,"area":"diffusion"},{"id":"2407.19306","title":"Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation","created":"2024-07-27","cited_by_count":0,"area":null},{"id":"2411.11357","title":"Text-guided Zero-Shot Object Localization","created":"2024-11-18","cited_by_count":0,"area":null},{"id":"2505.06524","title":"Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation","created":"2025-05-10","cited_by_count":0,"area":null},{"id":"2508.07759","title":"Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild","created":"2025-08-11","cited_by_count":0,"area":null},{"id":"2509.01299","title":"Cross-Domain Few-Shot Segmentation via Ordinary Differential Equations over Time Intervals","created":"2025-09-01","cited_by_count":0,"area":null},{"id":"2509.13907","title":"White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation","created":"2025-09-17","cited_by_count":0,"area":null},{"id":"2511.15515","title":"Multi-Text Guided Few-Shot Semantic Segmentation","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2511.16435","title":"Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation","created":"2025-11-20","cited_by_count":0,"area":null},{"id":"2601.13059","title":"Prototype Learning-Based Few-Shot Segmentation for Low-Light Crack on Concrete Structures","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2602.05217","title":"Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation","created":"2026-02-05","cited_by_count":0,"area":null},{"id":"2604.03134","title":"SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation","created":"2026-04-03","cited_by_count":0,"area":"diffusion"},{"id":"2604.18225","title":"Is SAM3 ready for pathology segmentation?","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.19340","title":"Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.09474","title":"Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2606.24296","title":"Hierarchical Spatial and Channel Aggregation for Cross-domain Few-shot Segmentation","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2607.05257","title":"GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2608.04394","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","created":"2026-08-05","cited_by_count":0,"area":"diffusion"},{"id":"2609.28949","title":"Exploiting Target Knowledge from MLLMs for Robust Few-Shot Segmentation","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}