Search Results for author: Gongrui Nan

Found 3 papers, 3 papers with code

Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training

1 code implementation12 Nov 2022 Yunshan Zhong, Gongrui Nan, Yuxin Zhang, Fei Chao, Rongrong Ji

In QAT, the contemporary experience is that all quantized weights are updated for an entire training process.

Quantization

LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal

1 code implementation27 Aug 2022 Hong Yang, Gongrui Nan, Mingbao Lin, Fei Chao, Yunhang Shen, Ke Li, Rongrong Ji

Finally, the LSA modules are further developed to fully use the prior information in non-shadow regions to cleanse the shadow regions.

Shadow Removal

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization

1 code implementation CVPR 2022 Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji

In this paper, we observe an interesting phenomenon of intra-class heterogeneity in real data and show that existing methods fail to retain this property in their synthetic images, which causes a limited performance increase.

Quantization

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