vision-language model

Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models CVPR 2024 Employing Glyphic Information for Chinese Event Extraction with Vision-Language Model EMNLP 2024 Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models WACV 2024 Empowering Visible-Infrared Person Re-Identification with Large Foundation Models NeurIPS 2024 Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning CVPR 2024 Enhancing Advanced Visual Reasoning Ability of Large Language Models EMNLP 2024 Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development ACL 2024 Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples ACL 2024 Enhancing Domain Adaptation through Prompt Gradient Alignment NeurIPS 2024 Enhancing Large Vision Language Models with Self-Training on Image Comprehension NeurIPS 2024 Enhancing LLM Reasoning via Vision-Augmented Prompting NeurIPS 2024 Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection NeurIPS 2024 Enhancing Vision-Language Pre-training with Rich Supervisions CVPR 2024 Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting NeurIPS 2024 Evaluating Semantic Relations in Predicting Textual Labels for Images of Abstract and Concrete Concepts ACL 2024 Evaluating Vision-Language Models on Bistable Images ACL 2024 EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE AAAI 2024 EVil-Probe - a Composite Benchmark for Extensive Visio-Linguistic Probing COLING 2024 EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models NeurIPS 2024 Examining Gender and Racial Bias in Large Vision–Language Models Using a Novel Dataset of Parallel Images EACL 2024 EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models ACL 2024 Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction ACL 2024 Exploiting CLIP for Zero-Shot HOI Detection Requires Knowledge Distillation at Multiple Levels WACV 2024 Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels NeurIPS 2024 Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models ECCV 2024