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conftrace_

vision-language model

3,629 papers

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Also known as

(V)LM VLM VL MODEL VLMS

Co-occurring keywords · papers mentioning both

multimodal learning (743) zero-shot learning (416) large language model (269) contrastive learning (263) visual question answering (241) transfer learning (172) few-shot learning (169) knowledge distillation (160) prompt learning (141) semantic segmentation (135)

Papers

DASH: Detection and Assessment of Systematic Hallucinations of VLMs ICCV 2025 DASR: Distributed Adaptive Scene Recognition - A Multi-Agent Cloud-Edge Framework for Language-Guided Scene Detection EMNLP 2025 Data or Language Supervision: What Makes CLIP Better than DINO? EMNLP 2025 Dataset Distillation via Vision-Language Category Prototype ICCV 2025 Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning EMNLP 2025 D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition EMNLP 2025 DCP: Dual-Cue Pruning for Efficient Large Vision-Language Models EMNLP 2025 Debating for Better Reasoning in Vision-Language Models EMNLP 2025 DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception CVPR 2025 Deduce and Select Evidences with Language Models for Training-Free Video Goal Inference WACV 2025 Defining and Evaluating Visual Language Models’ Basic Spatial Abilities: A Perspective from Psychometrics ACL 2025 Defining and Quantifying Visual Hallucinations in Vision-Language Models NAACL 2025 Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices EMNLP 2025 DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy ICCV 2025 Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology ICCV 2025 Describe Anything: Detailed Localized Image and Video Captioning ICCV 2025 DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding EMNLP 2025 Details Matter for Indoor Open-vocabulary 3D Instance Segmentation ICCV 2025 Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference EMNLP 2025 Developing Japanese CLIP Models Leveraging an Open-weight LLM for Large-scale Dataset Translation NAACL 2025 DexVLG: Dexterous Vision-Language-Grasp Model at Scale ICCV 2025 Diagram-Driven Course Questions Generation EMNLP 2025 DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup ICCV 2025 Differentiable Prompt Learning for Vision Language Models IJCAI 2025 Diffusion Feedback Helps CLIP See Better ICLR 2025