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arXiv Computer Vision research summaries for May 20, 2024.
Today's Research Themes (AI-Generated):
• Novel network learns Spatial Similarity Distribution for improved few-shot object counting accuracy.
• Introducing MM-Retinal, a multi-modal dataset and pretraining model KeepFIT for enhanced fundus image analysis.
• ViViD framework uses diffusion models for high-quality video virtual try-on with consistent garment details.
• Proposed distill-then-prune technique for real-time, high-accuracy stereo matching on edge devices.
• Combining remote sensing, AI, and flood modeling to safeguard Nasca geoglyphs from climatic and anthropogenic threats.
arXiv Computer Vision research summaries for May 20, 2024.
Today's Research Themes (AI-Generated):
• Novel network learns Spatial Similarity Distribution for improved few-shot object counting accuracy.
• Introducing MM-Retinal, a multi-modal dataset and pretraining model KeepFIT for enhanced fundus image analysis.
• ViViD framework uses diffusion models for high-quality video virtual try-on with consistent garment details.
• Proposed distill-then-prune technique for real-time, high-accuracy stereo matching on edge devices.
• Combining remote sensing, AI, and flood modeling to safeguard Nasca geoglyphs from climatic and anthropogenic threats.