https://github.com/dimits-ts/deep_vision_domain_adaptation
Unpublished paper focusing on the effects of pseudo-labeling without specialized models and supporting algorithms. Includes presentation slides, paper, experiments and task-specific preprocessing/pseudo-labeling library.
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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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 links in README
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.9%) to scientific vocabulary
Keywords
deep-learning
deep-vision
domain-adaptation
image-classification
presentation-slides
pseudo-labeling
research-paper
Last synced: 4 months ago
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Repository
Unpublished paper focusing on the effects of pseudo-labeling without specialized models and supporting algorithms. Includes presentation slides, paper, experiments and task-specific preprocessing/pseudo-labeling library.
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
deep-learning
deep-vision
domain-adaptation
image-classification
presentation-slides
pseudo-labeling
research-paper
Created almost 2 years ago
· Last pushed over 1 year ago
Owner
- Name: Dimitris Tsirmpas
- Login: dimits-ts
- Kind: user
- Repositories: 1
- Profile: https://github.com/dimits-ts
I like playing around with data and building stuff.
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Last synced: 9 months ago
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- Pull requests: 1
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- Average time to close pull requests: 6 minutes
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