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arXiv Computer Vision research summaries for May 17, 2024.
Today's Research Themes (AI-Generated):
• VLMs safeguarded against patched visual prompt injectors through pixel-wise randomization and SmoothVLM framework
• CM-UNet combines CNN and Mamba for efficient semantic segmentation of remote sensing images
• LighTDiff employs a lightweight DDPM for enhanced low-light image enhancement in surgical endoscopy
• NeRO MLP-based method offers improvements in autonomous driving through accurate road surface reconstruction
• SymCode and SymNet introduced to resolve symmetry ambiguity in 6D pose estimation of symmetric objects
arXiv Computer Vision research summaries for May 17, 2024.
Today's Research Themes (AI-Generated):
• VLMs safeguarded against patched visual prompt injectors through pixel-wise randomization and SmoothVLM framework
• CM-UNet combines CNN and Mamba for efficient semantic segmentation of remote sensing images
• LighTDiff employs a lightweight DDPM for enhanced low-light image enhancement in surgical endoscopy
• NeRO MLP-based method offers improvements in autonomous driving through accurate road surface reconstruction
• SymCode and SymNet introduced to resolve symmetry ambiguity in 6D pose estimation of symmetric objects