{"total":19,"rows":[{"id":"2403.20078","title":"Negative Label Guided OOD Detection with Pretrained Vision-Language Models","created":"2024-03-29","cited_by_count":66,"area":"mllm"},{"id":"2407.21794","title":"Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey","created":"2024-07-31","cited_by_count":36,"area":"mllm"},{"id":"2407.08966","title":"LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models","created":"2024-07-12","cited_by_count":21,"area":"mllm"},{"id":"2410.20149","title":"AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models","created":"2024-10-26","cited_by_count":16,"area":"mllm"},{"id":"2403.16528","title":"Open-Set Recognition in the Age of Vision-Language Models","created":"2024-03-25","cited_by_count":13,"area":"mllm"},{"id":"2504.05457","title":"Taxonomy-Aware Evaluation of Vision-Language Models","created":"2025-04-07","cited_by_count":11,"area":"mllm"},{"id":"2501.18463","title":"A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models","created":"2025-01-30","cited_by_count":3,"area":"mllm"},{"id":"2507.04511","title":"FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection","created":"2025-07-06","cited_by_count":3,"area":"mllm"},{"id":"2507.10225","title":"Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection","created":"2025-07-14","cited_by_count":3,"area":"mllm"},{"id":"2410.14975","title":"Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation","created":"2024-10-19","cited_by_count":2,"area":"mllm"},{"id":"2601.08476","title":"Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models","created":"2026-01-13","cited_by_count":2,"area":"mllm"},{"id":"2603.25250","title":"Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models","created":"2026-03-26","cited_by_count":2,"area":"mllm"},{"id":"2604.15756","title":"TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models","created":"2026-04-17","cited_by_count":2,"area":"mllm"},{"id":"2509.17452","title":"Training-Free Label Space Alignment for Universal Domain Adaptation","created":"2025-09-22","cited_by_count":1,"area":"mllm"},{"id":"2506.22375","title":"Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation","created":"2025-06-27","cited_by_count":0,"area":"mllm"},{"id":"2604.23729","title":"DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection","created":"2026-04-26","cited_by_count":0,"area":"mllm"},{"id":"2605.00906","title":"Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models","created":"2026-04-29","cited_by_count":0,"area":"mllm"},{"id":"2605.10756","title":"TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection","created":"2026-05-11","cited_by_count":0,"area":"mllm"},{"id":"2605.26661","title":"Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models","created":"2026-05-26","cited_by_count":0,"area":"mllm"}],"next_cursor":null}