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arXiv Computer Vision research summaries for March 12, 2024.
Today's Research Themes (AI-Generated):
• Introducing LLaMS for generating human-level multimodal stories from image streams with expressive consistency.
• Dynamic U-Net enhances abdominal multi-organ segmentation by adaptively calibrating features to improve segmentation accuracy.
• Lumen: A novel LMM architecture for versatile vision-centric capability enhancement surpasses existing approaches on COCO detection benchmark.
• Efficient Diffusion Model for Image Restoration by Residual Shifting achieves superior performance on classical IR tasks with minimal sampling steps.
• SGE leverages Gray code in event-based SL systems for high-speed, high-precision dense depth estimation.
arXiv Computer Vision research summaries for March 12, 2024.
Today's Research Themes (AI-Generated):
• Introducing LLaMS for generating human-level multimodal stories from image streams with expressive consistency.
• Dynamic U-Net enhances abdominal multi-organ segmentation by adaptively calibrating features to improve segmentation accuracy.
• Lumen: A novel LMM architecture for versatile vision-centric capability enhancement surpasses existing approaches on COCO detection benchmark.
• Efficient Diffusion Model for Image Restoration by Residual Shifting achieves superior performance on classical IR tasks with minimal sampling steps.
• SGE leverages Gray code in event-based SL systems for high-speed, high-precision dense depth estimation.