35 citations · 72 across the 10 of their papers we have counts for
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cs.NE2022★ 2 cited
Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry
Yukun Yang, Peng Li
Gradient-based first-order adaptive optimization methods such as the Adam optimizer are prevalent in training artificial networks, achieving the state-of-the-art results. This work…
cs.CV2022
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation
Peng Li, Jiayin Zhao, Jingyao Wu +3
Light field disparity estimation is an essential task in computer vision with various applications. Although supervised learning-based methods have achieved both higher accuracy an…
cs.CV2022★ 3 cited
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision
Guhong Nie, Lirui Xiao, Menglong Zhu +6
For binary neural networks (BNNs) to become the mainstream on-device computer vision algorithm, they must achieve a superior speed-vs-accuracy tradeoff than 8-bit quantization and…