39 citations · 75 across the 5 of their papers we have counts for
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cs.CV2020★ 32 cited
Partial FC: Training 10 Million Identities on a Single Machine
Xiang An, Xuhan Zhu, Yang Xiao +7
Training face recognition models with millions of identities is challenging because classifier storage, logit memory, and computation grow linearly with the number of classes, even…
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…