Tag: LVLM
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Phase-Aware Suppression to Reduce Hallucinations in LVLMs
Discover phase-aware suppression techniques that reduce hallucinations in large vision-language models without retraining or added latency.
Binary Verification Workflow for Zero-Shot Vision Models
Discover a training-free binary verification method enhancing zero-shot vision with Vision Language Models via quantization and binarization.
Zero-Shot Human Age Estimation Using Large Vision-Language Models
Explore VLAgeBench benchmarking LVLMs for zero-shot human age estimation with high accuracy and fairness across diverse datasets and demographics.
Reduce Object Hallucinations in LVLMs with AIR Method
Learn how Attention Imbalance Rectification (AIR) reduces object hallucinations in Large Vision-Language Models, improving accuracy by up to 35%.
Fixing Multi-View Hallucination in Vision-Language Models
Discover how Reference Shift Contrastive Decoding improves large vision-language models by tackling multi-view hallucination for better accuracy.