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

Zero-shot Commonsense Reasoning over Machine Imagination EMNLP 2024
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks EMNLP 2024
OdiaGenAI’s Participation in WMT2024 English-to-Low Resource Multimodal Translation Task EMNLP 2024
PLIP: Language-Image Pre-training for Person Representation Learning NIPS 2024
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NIPS 2024
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights NIPS 2024
Renovating Names in Open-Vocabulary Segmentation Benchmarks NIPS 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NIPS 2024
ImageInWords: Unlocking Hyper-Detailed Image Descriptions EMNLP 2024
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement EMNLP 2024
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models EMNLP 2024
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding EMNLP 2024
GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization EMNLP 2024
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning EMNLP 2024
Updating CLIP to Prefer Descriptions Over Captions EMNLP 2024
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey NIPS 2024
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information EMNLP 2024
X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization CVPR 2024
OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation CVPR 2024
The Devil is in the Fine-Grained Details: Evaluating Open-Vocabulary Object Detectors for Fine-Grained Understanding CVPR 2024
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models CVPR 2024
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters CVPR 2024
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation CVPR 2024
Prompt Learning via Meta-Regularization CVPR 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation CVPR 2024