Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jiebo Song"'
Autor:
Shaokai Ye, Yuanqing Miao, Kaisheng Ma, Zhanhong Tan, Yifu Wu, Hongyang Chen, Dehui Li, Sia-Huat Tan, Jiebo Song, Xiaolong Ma, Yanzhi Wang
Publikováno v:
DAC
Weight pruning is a powerful technique to realize model compression. We propose PCNN, a fine-grained regular 1D pruning method. A novel index format called Sparsity Pattern Mask (SPM) is presented to encode the sparsity in PCNN. Leveraging SPM with l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07ef3ee1fd2b16da132cac5d2c83865c
http://arxiv.org/abs/2002.04997
http://arxiv.org/abs/2002.04997
Autor:
Shaokai Ye, Kailu Wu, Mu Zhou, Jiebo Song, Yunfei Yang, Chenglong Bao, Kaidi Xu, Sia Huat Tan, Kaisheng Ma
Publikováno v:
CVPR
Existing domain adaptation methods aim at learning features that can be generalized among domains. These methods commonly require to update source classifier to adapt to the target domain and do not properly handle the trade off between the source do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5aa9eedeb9ab4e20eb341396badd192e
http://arxiv.org/abs/1911.12796
http://arxiv.org/abs/1911.12796
Publikováno v:
ICCV
Convolutional neural networks have been widely deployed in various application scenarios. In order to extend the applications' boundaries to some accuracy-crucial domains, researchers have been investigating approaches to boost accuracy through eithe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd9ff0256555e0d8a82719ab6b5d4dde
http://arxiv.org/abs/1905.08094
http://arxiv.org/abs/1905.08094
Publikováno v:
Inverse Problems. 36:115009
The sparsity-based approaches have demonstrated promising performance in image processing. In this paper, for better preservation of the salient edge structures of images, we propose an ℓ 0 + ℓ 2-norm based analysis model, which requires solvin
Autor:
Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia-Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
Publikováno v:
DAC: Annual ACM/IEEE Design Automation Conference; 2020, Issue 57, p1130-1135, 6p