conftrace_

vision-language model

2348 papers

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Also known as

VLM VL MODEL VLMS

Co-occurring keywords

multimodal learning (4645) zero-shot learning (3650) vision language model (767) contrastive learning (4032) large language model (13587) visual question answering (1017) transfer learning (5449) few-shot learning (3398) knowledge distillation (3725) semantic segmentation (3186)

Papers

PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation CVPR 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning CVPR 2024
Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization CVPR 2024
Transferable and Principled Efficiency for Open-Vocabulary Segmentation CVPR 2024
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection CVPR 2024
ViTamin: Designing Scalable Vision Models in the Vision-Language Era CVPR 2024
Label Propagation for Zero-shot Classification with Vision-Language Models CVPR 2024
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models CVPR 2024
SAI3D: Segment Any Instance in 3D Scenes CVPR 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models CVPR 2024
Multi-Modal Hallucination Control by Visual Information Grounding CVPR 2024
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model CVPR 2024
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? EMNLP 2024
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification EMNLP 2024
LLMs are Good Sign Language Translators CVPR 2024
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization CVPR 2024
LION: Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge CVPR 2024
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering CVPR 2024
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want CVPR 2024
Iterated Learning Improves Compositionality in Large Vision-Language Models CVPR 2024
Improved Visual Grounding through Self-Consistent Explanations CVPR 2024
Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model CVPR 2024
JoAPR: Cleaning the Lens of Prompt Learning for Vision-Language Models CVPR 2024
Efficient Test-Time Adaptation of Vision-Language Models CVPR 2024