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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

RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models NeurIPS 2024 Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models EMNLP 2024 RECANTFormer: Referring Expression Comprehension with Varying Numbers of Targets EMNLP 2024 ReCAP: Semantic Role Enhanced Caption Generation COLING 2024 ReCLIP: Refine Contrastive Language Image Pre-Training With Source Free Domain Adaptation WACV 2024 Recognize Any Regions NeurIPS 2024 Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion ICML 2024 Reference-Based Metrics Are Biased Against Blind and Low-Vision Users’ Image Description Preferences EMNLP 2024 Reference-free Hallucination Detection for Large Vision-Language Models EMNLP 2024 RegionGPT: Towards Region Understanding Vision Language Model CVPR 2024 RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding CVPR 2024 Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation NeurIPS 2024 Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects AAAI 2024 Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment ICLR 2024 Renovating Names in Open-Vocabulary Segmentation Benchmarks NeurIPS 2024 Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models EMNLP 2024 Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models ICLR 2024 Representing Abstract Concepts with Images: An Investigation with Large Language Models COLING 2024 Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective NeurIPS 2024 Retrieval Across Any Domains via Large-scale Pre-trained Model ICML 2024 Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation CVPR 2024 Retrieval-Augmented Open-Vocabulary Object Detection CVPR 2024 Retrieval-Enhanced Contrastive Vision-Text Models ICLR 2024 Retrieval-enriched zero-shot image classification in low-resource domains EMNLP 2024 Revisiting Few-Shot Object Detection with Vision-Language Models NeurIPS 2024