SDMNet is a self-supervised stereo matching network trained via image reconstruction and perceptual loss that reports competitive results on KITTI and hand vein datasets without using disparity labels.
Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling
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Non-destructive three-dimensional measurement of hand vein based on self-supervised network
SDMNet is a self-supervised stereo matching network trained via image reconstruction and perceptual loss that reports competitive results on KITTI and hand vein datasets without using disparity labels.