2 code implementations • 11 Nov 2022 • Chengpeng Chen, Zichao Guo, Haien Zeng, Pengfei Xiong, Jian Dong
Experiments on ImageNet and COCO benchmarks demonstrate that the proposed RepGhostNet is much more effective and efficient than GhostNet and MobileNetV3 on mobile devices.
no code implementations • ICCV 2023 • Junqiang Huang, Zichao Guo
We present a simple but effective pixel-level self-supervised distillation framework friendly to dense prediction tasks.
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.
no code implementations • CVPR 2021 • Jin Chen, Xijun Wang, Zichao Guo, Xiangyu Zhang, Jian Sun
More gracefully, our DRConv transfers the increasing channel-wise filters to spatial dimension with learnable instructor, which not only improve representation ability of convolution, but also maintains computational cost and the translation-invariance as standard convolution dose.
Ranked #14 on Semantic Segmentation on MCubeS
6 code implementations • ECCV 2020 • Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun
It is easy to train and fast to search.
Ranked #88 on Neural Architecture Search on ImageNet (Accuracy metric)
2 code implementations • ICCV 2019 • Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Tim Kwang-Ting Cheng, Jian Sun
In this paper, we propose a novel meta learning approach for automatic channel pruning of very deep neural networks.