Not known Facts About hitnet
Not known Facts About hitnet
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Edit HITNet is a framework for neural community primarily based depth estimation which overcomes the computational cons of running with a 3D volume by integrating impression warping, spatial propagation and a fast substantial resolution initialization phase in to the network architecture, though retaining the flexibility of the uncovered illustration by making it possible for attributes to circulation through hitnet the community. The most crucial idea of the strategy will be to signify impression tiles as planar patches that have a learned compact attribute descriptor hooked up to them. The essential basic principle of your method will be to fuse information and facts from the high resolution initialization and the current hypotheses using spatial propagation. The propagation is applied by way of a convolutional neural network module that updates the estimate from the planar patches and their hooked up capabilities.
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