1 code implementation • 12 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.
1 code implementation • 27 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.
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.