Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph-Reference-Cited by-同舟云学术

Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
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Author:

Yang Jingkang¹,Chen Weirong²,Feng Litong³,Yan Xiaopeng⁴,Zheng Huabin⁴,Zhang Wayne⁵

Affiliation:

1. Sensetime Research & Rice University, Shenzhen, China

2. SenseTime Research & The Chinese University of Hong Kong, Hong Kong, China

3. Sensetime Research, Hong Kong, China

4. SenseTime Research, Shenzhen, China

5. SenseTime Research & Shanghai Jiao Tong University, Hong Kong, China

Funder

Innovation and Technology Commission of the Hong Kong Special Administrative Region, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3413952

Reference57 articles.

1. Görkem Algan and Ilkay Ulusoy. 2019. Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey. arXiv preprint arXiv:1912.05170 (2019). Görkem Algan and Ilkay Ulusoy. 2019. Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey. arXiv preprint arXiv:1912.05170 (2019).

2. Animals on the Web

3. Occam's Razor

4. Zhao-Min Chen Xiu-Shen Wei Peng Wang and Yanwen Guo. 2019. Multi-label image recognition with graph convolutional networks. In CVPR. 5177--5186. Zhao-Min Chen Xiu-Shen Wei Peng Wang and Yanwen Guo. 2019. Multi-label image recognition with graph convolutional networks. In CVPR. 5177--5186.

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