{"total":84,"rows":[{"id":"2312.01597","title":"SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference","created":"2023-12-04","cited_by_count":170,"area":null},{"id":"2408.04883","title":"ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation","created":"2024-08-09","cited_by_count":111,"area":null},{"id":"2505.05071","title":"FG-CLIP: Fine-Grained Visual and Textual Alignment","created":"2025-05-08","cited_by_count":81,"area":null},{"id":"2412.16334","title":"DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment","created":"2024-12-20","cited_by_count":79,"area":null},{"id":"2404.08181","title":"Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation","created":"2024-04-12","cited_by_count":77,"area":null},{"id":"2401.02955","title":"Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively","created":"2024-01-05","cited_by_count":75,"area":null},{"id":"2401.10229","title":"OMG-Seg: Is One Model Good Enough For All Segmentation?","created":"2024-01-18","cited_by_count":75,"area":null},{"id":"2411.09219","title":"Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation","created":"2024-11-14","cited_by_count":39,"area":null},{"id":"2410.16512","title":"TIPS: Text-Image Pretraining with Spatial awareness","created":"2024-10-21","cited_by_count":37,"area":null},{"id":"2505.04410","title":"DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception","created":"2025-05-07","cited_by_count":33,"area":null},{"id":"2402.04648","title":"OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding","created":"2024-02-07","cited_by_count":22,"area":null},{"id":"2405.17913","title":"OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision","created":"2024-05-28","cited_by_count":22,"area":null},{"id":"2404.14249","title":"CLIP-GS: CLIP-Informed Gaussian Splatting for View-Consistent 3D Indoor Semantic Understanding","created":"2024-04-22","cited_by_count":16,"area":null},{"id":"2602.22394","title":"Vision Transformers Need More Than Registers","created":"2026-02-25","cited_by_count":15,"area":null},{"id":"2410.19635","title":"Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models","created":"2024-10-25","cited_by_count":13,"area":null},{"id":"2504.02328","title":"Refining CLIP's Spatial Awareness: A Visual-Centric Perspective","created":"2025-04-03","cited_by_count":13,"area":null},{"id":"2510.10921","title":"FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model","created":"2025-10-13","cited_by_count":13,"area":null},{"id":"2508.20265","title":"Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation","created":"2025-08-27","cited_by_count":12,"area":null},{"id":"2411.04997","title":"LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation","created":"2024-11-07","cited_by_count":11,"area":null},{"id":"2504.19500","title":"Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding","created":"2025-04-28","cited_by_count":10,"area":null},{"id":"2508.11256","title":"Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception","created":"2025-08-15","cited_by_count":10,"area":null},{"id":"2310.02296","title":"CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation","created":"2023-10-03","cited_by_count":9,"area":null},{"id":"2404.06836","title":"O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation","created":"2024-04-10","cited_by_count":9,"area":null},{"id":"2412.20645","title":"YOLO-UniOW: Efficient Universal Open-World Object Detection","created":"2024-12-30","cited_by_count":9,"area":null},{"id":"2508.18067","title":"Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images","created":"2025-08-25","cited_by_count":8,"area":null},{"id":"2511.22471","title":"Rethinking Cross-Generator Image Forgery Detection through DINOv3","created":"2025-11-27","cited_by_count":8,"area":null},{"id":"2310.14374","title":"OV-VG: A Benchmark for Open-Vocabulary Visual Grounding","created":"2023-10-22","cited_by_count":7,"area":null},{"id":"2311.03352","title":"Rethinking Evaluation Metrics of Open-Vocabulary Segmentaion","created":"2023-11-06","cited_by_count":7,"area":null},{"id":"2409.03525","title":"FrozenSeg: Harmonizing Frozen Foundation Models for Open-Vocabulary Segmentation","created":"2024-09-05","cited_by_count":7,"area":null},{"id":"2503.17080","title":"Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection","created":"2025-03-21","cited_by_count":7,"area":null},{"id":"2405.14294","title":"Tuning-free Universally-Supervised Semantic Segmentation","created":"2024-05-23","cited_by_count":6,"area":null},{"id":"2410.01341","title":"Cognition Transferring and Decoupling for Text-supervised Egocentric Semantic Segmentation","created":"2024-10-02","cited_by_count":6,"area":null},{"id":"2503.18931","title":"Enhancing Vision Foundation Models via Multimodal Continual Pre-Training","created":"2025-03-24","cited_by_count":5,"area":null},{"id":"2509.23316","title":"C3-OWD: A Curriculum Cross-modal Contrastive Learning Framework for Open-World Detection","created":"2025-09-27","cited_by_count":5,"area":null},{"id":"2511.16170","title":"Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective","created":"2025-11-20","cited_by_count":5,"area":null},{"id":"2407.01220","title":"Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation","created":"2024-07-01","cited_by_count":4,"area":null},{"id":"2503.14129","title":"SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models","created":"2025-03-18","cited_by_count":4,"area":null},{"id":"2508.04211","title":"What Holds Back Open-Vocabulary Segmentation?","created":"2025-08-06","cited_by_count":4,"area":null},{"id":"2602.18853","title":"Open-Vocabulary Domain Generalization in Urban-Scene Segmentation","created":"2026-02-21","cited_by_count":4,"area":null},{"id":"2406.05766","title":"Set-CLIP: Exploring Aligned Semantic From Low-Alignment Multimodal Data Through A Distribution View","created":"2024-06-09","cited_by_count":3,"area":null},{"id":"2503.17071","title":"Superpowering Open-Vocabulary Object Detectors for X-ray Vision","created":"2025-03-21","cited_by_count":3,"area":null},{"id":"2602.05729","title":"Adaptive Global and Fine-Grained Perceptual Fusion for MLLM Embeddings Compatible with Hard Negative Amplification","created":"2026-02-05","cited_by_count":3,"area":null},{"id":"2410.08645","title":"Boosting Open-Vocabulary Object Detection by Handling Background Samples","created":"2024-10-11","cited_by_count":2,"area":null},{"id":"2501.02048","title":"DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data","created":"2025-01-03","cited_by_count":2,"area":null},{"id":"2505.05023","title":"Split Matching for Inductive Zero-shot Semantic Segmentation","created":"2025-05-08","cited_by_count":2,"area":null},{"id":"2509.08908","title":"Diffusion-Based Action Recognition Generalizes to Untrained Domains","created":"2025-09-10","cited_by_count":2,"area":null},{"id":"2510.14792","title":"MSPL: Multi-Step Pseudo-Labeling for Open-Vocabulary Object Detection","created":"2025-10-16","cited_by_count":2,"area":null},{"id":"2511.08248","title":"NERVE: Neighbourhood & Entropy-guided Random-walk for training free open-Vocabulary sEgmentation","created":"2025-11-11","cited_by_count":2,"area":null},{"id":"2605.12325","title":"VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference","created":"2026-05-12","cited_by_count":2,"area":null},{"id":"2405.08593","title":"Open-Vocabulary Object Detection via Neighboring Region Attention Alignment","created":"2024-05-14","cited_by_count":1,"area":null},{"id":"2410.15315","title":"Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text Describability","created":"2024-10-20","cited_by_count":1,"area":null},{"id":"2507.12750","title":"Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning","created":"2025-07-17","cited_by_count":1,"area":null},{"id":"2508.01253","title":"ODOV: Benchmark the Open-Domain Open-Vocabulary Object Detection","created":"2025-08-02","cited_by_count":1,"area":null},{"id":"2509.15225","title":"Lost in Translation? Vocabulary Alignment for Source-Free Adaptation in Open-Vocabulary Semantic Segmentation","created":"2025-09-18","cited_by_count":1,"area":null},{"id":"2511.14901","title":"FarSLIP: Discovering Effective CLIP Adaptation for Fine-Grained Remote Sensing Understanding","created":"2025-11-18","cited_by_count":1,"area":null},{"id":"2602.01954","title":"Beyond Open Vocabulary: Multimodal Prompting for Object Detection in Remote Sensing Images","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2412.14145","title":"Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation","created":"2024-12-18","cited_by_count":0,"area":null},{"id":"2506.22032","title":"Partial CLIP is Enough: Chimera-Seg for Zero-shot Semantic Segmentation","created":"2025-06-27","cited_by_count":0,"area":null},{"id":"2507.12807","title":"Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2507.18675","title":"Advancing Vision-based Human Action Recognition: Exploring Vision-Language CLIP Model for Generalisation in Domain-Independent Tasks","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2602.00531","title":"Enhancing Open-Vocabulary Object Detection through Multi-Level Fine-Grained Visual-Language Alignment","created":"2026-01-31","cited_by_count":0,"area":null},{"id":"2604.07723","title":"Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2604.08230","title":"Generalization Under Scrutiny: Cross-Domain Detection Progresses, Pitfalls, and Persistent Challenges","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2604.08461","title":"OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2604.12923","title":"Pi-HOC: Pairwise 3D Human-Object Contact Estimation","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2604.23344","title":"Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection","created":"2026-04-25","cited_by_count":0,"area":null},{"id":"2605.03398","title":"MASRA: MLLM-Assisted Semantic-Relational Consistent Alignment for Video Temporal Grounding","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.16903","title":"WOW-Seg: A Word-free Open World Segmentation Model","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2605.16973","title":"SHED: Style-Homogenized Embedding Alignment for Domain Generalization","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2605.27116","title":"COVD: Continual Open-Vocabulary Object Detection with Novel Concept Injection","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2605.28271","title":"LV-OSD: Language-Vision-Complementary Open-Set Object Detection","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2606.09360","title":"ExDet: Open-Domain Open-Vocabulary Detection with Cross-modal Extrapolation and Rectification","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2606.30342","title":"A Classifier-Agnostic Zero-Shot Adversarial Attack Detection via CLIP","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2607.01759","title":"ProCal: Inference-Time Proposal Calibration for Open-Vocabulary Object Detection","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.07135","title":"Sparse Attention for Dense Open-Vocabulary Prediction in CLIP","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2607.09488","title":"SigLIP-HD by Fine-to-Coarse Supervision","created":"2026-07-10","cited_by_count":0,"area":null},{"id":"2607.11008","title":"SynCLIP: Synonym-Coherent Language-Image Pretraining for Robust Open-Vocabulary Dense Perception","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.13661","title":"Fine-grained CLIP fine-tuning with self-annotated region alignment","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.03991","title":"Perceptual Anchoring: Prototype-Guided Text Calibration for Training-free Open-Vocabulary Semantic Segmentation","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.04604","title":"COSMO: Consensus-Driven Shift Modulation for Source-Free Domain Adaptation","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.11681","title":"Learning from Multimodal Pseudo-Labels for Robust Open-Vocabulary Instance and Panoptic Segmentation","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2610.14944","title":"Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations","created":"2026-10-10","cited_by_count":0,"area":null},{"id":"2610.17707","title":"Focus on What You Need: Global-to-Local Dynamic Attention for Multimodal Sarcasm Detection","created":"2026-10-13","cited_by_count":0,"area":null},{"id":"2610.17730","title":"DT-LoRA: Reaching Beyond the Tangent Space of Low-Rank Adaptation","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}