Open-Set Semi-Supervised Object Detection

Open-Set Semi-Supervised Object Detection aims to leverage the unconstrained unlabeled images to improve an object detector trained with the available labeled data.

Data and Resources

Cite this as

Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira (2024). Dataset: Open-Set Semi-Supervised Object Detection. https://doi.org/10.57702/ftsyb008

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Yen-Cheng Liu
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Chih-Yao Ma
Xiaoliang Dai
Junjiao Tian
Peter Vajda
Zijian He
Zsolt Kira
Homepage https://arxiv.org/abs/2104.14294