{"total":18,"rows":[{"id":"2411.15869","title":"Self-Calibrated CLIP for Training-Free Open-Vocabulary Segmentation","created":"2024-11-24","cited_by_count":34,"area":"mllm"},{"id":"2411.15851","title":"ResCLIP: Residual Attention for Training-free Dense Vision-language Inference","created":"2024-11-24","cited_by_count":29,"area":"mllm"},{"id":"2411.17150","title":"Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation","created":"2024-11-26","cited_by_count":24,"area":"mllm"},{"id":"2505.21844","title":"Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation","created":"2025-05-28","cited_by_count":10,"area":"mllm"},{"id":"2410.23370","title":"Multilingual Vision-Language Pre-training for the Remote Sensing Domain","created":"2024-10-30","cited_by_count":7,"area":"mllm"},{"id":"2411.12044","title":"ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements","created":"2024-11-18","cited_by_count":7,"area":"mllm"},{"id":"2502.04192","title":"PixFoundation: Are We Heading in the Right Direction with Pixel-level Vision Foundation Models?","created":"2025-02-06","cited_by_count":4,"area":"mllm"},{"id":"2503.10779","title":"The Power of One: A Single Example is All it Takes for Segmentation in VLMs","created":"2025-03-13","cited_by_count":4,"area":"mllm"},{"id":"2503.19647","title":"Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation","created":"2025-03-25","cited_by_count":4,"area":"mllm"},{"id":"2603.29271","title":"ConInfer: Context-Aware Inference for Training-Free Open-Vocabulary Remote Sensing Segmentation","created":"2026-03-31","cited_by_count":3,"area":"mllm"},{"id":"2603.22042","title":"Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models","created":"2026-03-23","cited_by_count":2,"area":"mllm"},{"id":"2505.18819","title":"Parameter-Efficient CLIP Adaptation for 3D Understanding via Unified Tokenization","created":"2025-05-24","cited_by_count":1,"area":"mllm"},{"id":"2501.16981","title":"Modulating CNN Features with Pre-Trained ViT Representations for Open-Vocabulary Object Detection","created":"2025-01-28","cited_by_count":0,"area":"mllm"},{"id":"2512.07360","title":"Structure-Aware Feature Rectification with Region Adjacency Graphs for Training-Free Open-Vocabulary Semantic Segmentation","created":"2025-12-08","cited_by_count":0,"area":"mllm"},{"id":"2603.08475","title":"R2F: Repurposing Ray Frontiers for LLM-free Object Navigation","created":"2026-03-09","cited_by_count":0,"area":"mllm"},{"id":"2604.08110","title":"OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation","created":"2026-04-09","cited_by_count":0,"area":"mllm"},{"id":"2606.11546","title":"VL-DINO: Leveraging CLIP Vision-Language Knowledge for Open-Vocabulary Object Detectio","created":"2026-06-10","cited_by_count":0,"area":"mllm"},{"id":"2608.29923","title":"Towards Continual Test-Time Adaptation of Vision-Language Models in Open-Vocabulary Semantic Segmentation","created":"2026-08-30","cited_by_count":0,"area":"mllm"}],"next_cursor":null}