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cs.CV2021
Characterizing and Taming Resolution in Convolutional Neural Networks
Eddie Yan, Liang Luo, Luis Ceze
Image resolution has a significant effect on the accuracy and computational, storage, and bandwidth costs of computer vision model inference. These costs are exacerbated when scali…
cs.CV2021★ 3 cited
Automated Backend-Aware Post-Training Quantization
Ziheng Jiang, Animesh Jain, Andrew Liu +4
Quantization is a key technique to reduce the resource requirement and improve the performance of neural network deployment. However, different hardware backends such as x86 CPU, N…