Search Results for author: Qingyi Gu

Found 5 papers, 1 papers with code

Patch Similarity Aware Data-Free Quantization for Vision Transformers

no code implementations4 Mar 2022 Zhikai Li, Liping Ma, Mengjuan Chen, Junrui Xiao, Qingyi Gu

Vision transformers have recently gained great success on various computer vision tasks; nevertheless, their high model complexity makes it challenging to deploy on resource-constrained devices.

Data Free Quantization

Angle-based Search Space Shrinking for Neural Architecture Search

1 code implementation ECCV 2020 Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun

Comprehensive experiments show that ABS can dramatically enhance existing NAS approaches by providing a promising shrunk search space.

Neural Architecture Search

Multi-loss-aware Channel Pruning of Deep Networks

no code implementations27 Feb 2019 Yiming Hu, Siyang Sun, Jianquan Li, Jiagang Zhu, Xingang Wang, Qingyi Gu

Particularly, we introduce an additional loss to encode the differences in the feature and semantic distributions within feature maps between the baseline model and the pruned one.

General Classification

Cluster Regularized Quantization for Deep Networks Compression

no code implementations27 Feb 2019 Yiming Hu, Jianquan Li, Xianlei Long, Shenhua Hu, Jiagang Zhu, Xingang Wang, Qingyi Gu

Deep neural networks (DNNs) have achieved great success in a wide range of computer vision areas, but the applications to mobile devices is limited due to their high storage and computational cost.

Quantization

A novel channel pruning method for deep neural network compression

no code implementations29 May 2018 Yiming Hu, Siyang Sun, Jianquan Li, Xingang Wang, Qingyi Gu

In order to accelerate the selection process, the proposed method formulates it as a search problem, which can be solved efficiently by genetic algorithm.

Combinatorial Optimization Knowledge Distillation +1

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