Tag: Vision-Language Models
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PRISM Dataset: Enhancing Retail Vision-Language Models
Discover PRISM, a multi-view retail video dataset boosting embodied vision-language models with spatial and action understanding.
Omni-NegCLIP: Advanced Negation Understanding for CLIP
Omni-NegCLIP enhances CLIP with front-layer fine-tuning for better negation understanding, boosting image-text retrieval and AI language comprehension.
Zero-Shot Vision-Language Reranking Boosts Geolocalization
Improve cross-view geolocalization accuracy using zero-shot vision-language reranking with pairwise comparison strategies.
Enhancing Safety in Vision-Language Models with CARE Framework
Discover how the CARE framework uses causal discovery and dual-modal projection to diagnose and repair unsafe channels in vision-language models.
EuraGovExam: Multilingual AI Benchmark from Civil Exams
Discover EuraGovExam, a multilingual multimodal AI benchmark using real civil service exams to advance vision-language model evaluation and e-governance.