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DSOD: Learning Deeply Supervised Object Detectors from Scratch

Deeply Supervised Object Detector (DSOD) is a framework that can learn object detectors from scratch.

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Cite this as

Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue (2024). Dataset: DSOD: Learning Deeply Supervised Object Detectors from Scratch. https://doi.org/10.57702/n2tf85c1

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1708.01241
Author	Zhiqiang Shen
More Authors	Zhuang Liu Jianguo Li Yu-Gang Jiang Yurong Chen Xiangyang Xue
Homepage	https://github.com/szq0214/DSOD