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.
Unsupervised cnn for single view depth estimation: Geometry to the rescue, in: Euro- pean Conference on Computer Vision
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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.