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arXiv Computer Vision research summaries for May 08, 2024.
Today's Research Themes (AI-Generated):
• Deep-learning models excel in satellite imagery-based multi-disaster building damage assessment, surpassing xView2 challenge baseline accuracy.
• HiRISE camera's Mars surface photography is significantly improved by AI filtering and denoising of dust-obstructed images.
• Novel proportion estimation method demonstrates top performance in determining PD-L1 rates from clinical data with minimal cell-level annotation.
• FlexEControl introduces a resource-efficient approach for flexible text-to-image generation using multimodal conditioning.
• A new pedestrian attribute recognition framework demonstrates superior label-balanced learning, addressing data and semantic imbalances efficiently.
arXiv Computer Vision research summaries for May 08, 2024.
Today's Research Themes (AI-Generated):
• Deep-learning models excel in satellite imagery-based multi-disaster building damage assessment, surpassing xView2 challenge baseline accuracy.
• HiRISE camera's Mars surface photography is significantly improved by AI filtering and denoising of dust-obstructed images.
• Novel proportion estimation method demonstrates top performance in determining PD-L1 rates from clinical data with minimal cell-level annotation.
• FlexEControl introduces a resource-efficient approach for flexible text-to-image generation using multimodal conditioning.
• A new pedestrian attribute recognition framework demonstrates superior label-balanced learning, addressing data and semantic imbalances efficiently.