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arXiv Computer Vision research summaries for February 11, 2024.
Today's Research Themes (AI-Generated):
• Multi-modal foundation models' competencies in low-level vision are benchmarked against human-like language responses.
• Self-supervised learning and knowledge distillation enhance medical image segmentation under data scarcity.
• Informed subset selection and semi-supervised data programming improve medical image labeling with fewer annotated exemplars.
• The survey on 3D Gaussian Splatting enriches scene representation and view synthesis in computer graphics.
• Hyperspectral imaging combined with supervised and unsupervised learning delineates brain tumor boundaries during surgery.
arXiv Computer Vision research summaries for February 11, 2024.
Today's Research Themes (AI-Generated):
• Multi-modal foundation models' competencies in low-level vision are benchmarked against human-like language responses.
• Self-supervised learning and knowledge distillation enhance medical image segmentation under data scarcity.
• Informed subset selection and semi-supervised data programming improve medical image labeling with fewer annotated exemplars.
• The survey on 3D Gaussian Splatting enriches scene representation and view synthesis in computer graphics.
• Hyperspectral imaging combined with supervised and unsupervised learning delineates brain tumor boundaries during surgery.