Comments (1)
Hi, please do note that number of parameters has NO relation with speed, it's related with model size.
We measure the inference speed under exactly same setting, you can double check on your side with our released code.
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Related Issues (20)
- Dir not found. HOT 1
- Directory issue HOT 1
- error in modulated_deformable_im2col_cuda: invalid device function HOT 2
- how to set max_disp higher than default? HOT 3
- Run in Google colab HOT 4
- error in modulated_deformable_im2col_cuda: no kernel image is available for execution on the device HOT 1
- CUDA error: unknown error HOT 4
- question HOT 1
- Getting negative archetypal coordinates HOT 4
- RuntimeError: CUDA error: an illegal memory access was encountered HOT 1
- can you share your training log HOT 2
- question HOT 1
- visualize the sampling points, HOT 1
- where is the groundtruth file disp_occ_0_pseudo_gt HOT 1
- Undefined Symbol Error, most likely because i am using CUDA 11 instead of the intended CUDA 10 HOT 1
- how to set input size HOT 3
- evaluating indicator and Ablation study HOT 1
- CSCA--Cross Scale Cost Aggregation HOT 2
- Predict Disparity Map
- why we get the wrong demo HOT 1
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