"ST++: Make Self-training Work Better for Semi-supervised Semantic ..."

Lihe Yang et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-10-22

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2106-05095
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-05095
Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation. CoRR abs/2106.05095 (2021)

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