Tag: Vision-Language Models
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Enhance Document Parsing with Coarse-to-Fine Visual Processing
Improve document parsing accuracy and speed using PaddleOCR-VL's coarse-to-fine visual processing to reduce redundancy and boost efficiency.
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.
Robust Reasoning in VLMs: A Neuro-Symbolic Approach
Explore how neuro-symbolic methods improve vision-language models' reasoning under distribution shifts for robust AI performance.
ReCAP: Advanced CAPTCHA Solving for Native GUI Agents
Discover ReCAP, a native GUI agent using automated data and self-corrective training to boost CAPTCHA solving success from 30% to 80%.