Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization-Reference-Cited by-同舟云学术

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Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Zhuo Junbao,Wang Shuhui,Cui Shuhao,Huang Qingming

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8938205/8953184/08953919.pdf?arnumber=8953919

Cited by 22 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. Learning Invariant Representation with Consistency and Diversity for Semi-Supervised Source Hypothesis Transfer;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Toward domain adaptation with open-set target data: Review of theory and computer vision applications;Information Fusion;2023-12

3. Orthogonal Temporal Interpolation for Zero-Shot Video Recognition;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Weakly-supervised Video Scene Graph Generation via Unbiased Cross-modal Learning;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Focus nuance and toward diversity: exploring domain-specific fine-grained few-shot recognition;Neural Computing and Applications;2023-08-05

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