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

Publication: IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization. Published 2022.

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openaccess.thecvf.comPublished 2022

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Publication: IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization. Published 2022.

Publication information

Publication title: IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization
Authors: Zhong, Yunshan, Lin, Mingbao, Nan, Gongrui, Liu, Jianzhuang, Zhang, Baochang, Tian, Yonghong, Ji, Rongrong
Published: 2022
Venue / journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Publication source: openaccess.thecvf.com · content/CVPR2022/html/Zhong_IntraQ_Learning_Synthetic_Images_With_Intra-Class_Heterogeneity_for_Zero-Shot_Network_CVPR_2022_paper.html ↗
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Source: Publisher citation HTML metadata · observed Oct 11, 2026.

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Source page title: CVPR 2022 Open Access Repository
Declared page language: en
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