Paper

RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training

Although well-known large-scale datasets, such as ImageNet, have driven image understanding forward, most of these datasets require extensive manual annotation and are thus not easily scalable. This limits the advancement of image understanding techniques... (read more)

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