39 citations · 41 across the 2 of their papers we have counts for
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cs.CV2023★ 2 cited
MPI-Flow: Learning Realistic Optical Flow with Multiplane Images
Yingping Liang, Jiaming Liu, Debing Zhang +1
The accuracy of learning-based optical flow estimation models heavily relies on the realism of the training datasets. Current approaches for generating such datasets either employ…
cs.CV2020★ 39 cited
EasyQuant: Post-training Quantization via Scale Optimization
Di Wu, Qi Tang, Yongle Zhao +3
The 8 bits quantization has been widely applied to accelerate network inference in various deep learning applications. There are two kinds of quantization methods, training-based q…