correspondence
NA VI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Recent advances in neural reconstruction enable high-quality 3D object reconstruction from casually captured image collections. Current techniques mostly analyze their progress on relatively simple image collections where Structure-from-Motion (SfM) techniques can provide ground-truth (GT) camera poses.
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Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
Pretraining CNN models (i.e., UNet) through self-supervision has become a powerful approach to facilitate medical image segmentation under low annotation regimes.
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- Asia > Middle East > UAE > Abu Dhabi Emirate > Abu Dhabi (0.14)
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- Europe > Germany > North Rhine-Westphalia > Arnsberg Region > Siegen (0.04)
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Supplementary Material
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