DSOD: Learning Deeply Supervised Object Detectors from Scratch

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

Data and Resources

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

DOI retrieved: December 16, 2024

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