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arXiv Computer Vision research summaries for January 24, 2024.
Today's Research Themes (AI-Generated):
• Adaptive class-aware contrastive transformers are enhancing cross-domain detection by addressing class imbalance.
• Dual-modal dynamic traceback learning (DTrace) is advancing medical report generation from imaging by enabling dual-modal learning.
• Audio-infused image colorization (AIAIC) employs audio scene semantics to improve automatic colorization of images.
• DDI-CoCo dataset explores the effect of color contrast on machine-assisted skin disease detection, independent of skin tones.
• Target-awareness prototype mining (TAPM) and regional grid subdivision (RGS) are improving LiDAR-based small object tracking.
arXiv Computer Vision research summaries for January 24, 2024.
Today's Research Themes (AI-Generated):
• Adaptive class-aware contrastive transformers are enhancing cross-domain detection by addressing class imbalance.
• Dual-modal dynamic traceback learning (DTrace) is advancing medical report generation from imaging by enabling dual-modal learning.
• Audio-infused image colorization (AIAIC) employs audio scene semantics to improve automatic colorization of images.
• DDI-CoCo dataset explores the effect of color contrast on machine-assisted skin disease detection, independent of skin tones.
• Target-awareness prototype mining (TAPM) and regional grid subdivision (RGS) are improving LiDAR-based small object tracking.