https://github.com/cvi-szu/mcis_wsss
PyTorch reimplementation code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.7%) to scientific vocabulary
Last synced: 10 months ago
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Repository
PyTorch reimplementation code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Basic Info
- Host: GitHub
- Owner: CVI-SZU
- License: mit
- Language: Python
- Default Branch: main
- Size: 10.7 KB
Statistics
- Stars: 0
- Watchers: 6
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 5 years ago
· Last pushed over 5 years ago
Metadata Files
Readme
License
README.md
MCIS_WSSS
PyTorch reimplementation code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation 555
Owner
- Name: Computer Vision Institute, SZU
- Login: CVI-SZU
- Kind: organization
- Location: Shenzhen Univeristy, Shenzhen, China
- Website: http://cv.szu.edu.cn/
- Repositories: 13
- Profile: https://github.com/CVI-SZU
Computer Vision Institute, Shenzhen University
GitHub Events
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- Average comments per issue: 0
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Past Year
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- Issue authors: 0
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- Average comments per issue: 0
- Average comments per pull request: 0
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- Bot pull requests: 0