Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch-Reference-Cited by-同舟云学术

Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch

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

Author:

Yao Yazhou¹,Hua Xiansheng²,Gao Guanyu¹,Sun Zeren¹,Li Zhibin³,Zhang Jian³

Affiliation:

1. Nanjing University of Science and Technology, Nanjing, China

2. Alibaba Group, Hangzhou, China

3. University of Technology Sydney, Sydney, Australia

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3413851

Reference67 articles.

1. Alessandro Bergamo and Lorenzo Torresani. 2010. Exploiting weakly-labeled web images to improve object classification: a domain adaptation approach. In Advances in neural information processing systems. 181--189. Alessandro Bergamo and Lorenzo Torresani. 2010. Exploiting weakly-labeled web images to improve object classification: a domain adaptation approach. In Advances in neural information processing systems. 181--189.

2. Steve Branson Grant Van Horn Serge Belongie and Pietro Perona. 2014. Bird species categorization using pose normalized deep convolutional nets. arXiv:1406.2952 (2014). Steve Branson Grant Van Horn Serge Belongie and Pietro Perona. 2014. Bird species categorization using pose normalized deep convolutional nets. arXiv:1406.2952 (2014).

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust fine‐grained visual recognition with images based on internet of things;Computational Intelligence;2024-03-19

2. Data reweighting net for web fine-grained image classification;Multimedia Tools and Applications;2024-03-02

3. Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection;IEEE Transactions on Multimedia;2024

4. Webly Supervised Fine-Grained Image Recognition with Graph Representation and Metric Learning;Electronics;2022-12-11

5. MAVT-FG;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10