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License: MIT License
This repository is the official implementation of "SKFlow: Learning Optical Flow with Super Kernels" .
License: MIT License
Hi, nice work! I notice that you replace the gate operation of GRU with your proposed super-kernel convolutions. Is this because the gate operation limits performance?
Hi!
Can share the iters for Sintel and KITTI training and testing datasets when running the evaluate.py? For the example of RAFT, the iters of Sintel and KITTI training dataset is 32 and 24, and the iters of Sintel and KITTI testing datasets is also 32 and 24.
Why are the results in your paper slightly different from the results on the Sintel website?
ERROR: unknown command "depthwise-conv2d-implicit-gemm"
Hi, nice work! I wonder when you plan to release the code. Thx!
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