Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning-Reference-Cited by-同舟云学术

Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Huang Junkai¹,Fang Chaowei²,Chen Weikai³,Chai Zhenhua⁴,Wei Xiaolin⁴,Wei Pengxu¹,Lin Liang¹,Li Guanbin¹

Affiliation:

1. Sun Yat-sen University

2. Xidian University

3. Tencent America

4. Meituan

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711058.pdf?arnumber=9711058

Reference43 articles.

1. Multi-task Curriculum Framework for Open-Set Semi-supervised Learning

2. Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop;yu,2015

3. Fixmatch: Simplifying semi-supervised learning with consistency and confidence;sohn;Advances in neural information processing systems,2020

4. Training region-based object detectors with online hard ex-ample mining;shrivastava;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016

5. Near linear time algorithm to detect community structures in large-scale networks

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