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https://github.com/aleedm/real-time-domain-adaptation-in-semantic-segmentation
This repository contains research on real-time domain adaptation in semantic segmentation, aiming at bridging the gap between synthetic and real-world imagery for urban scenes and autonomous driving, utilizing STDC models and advanced domain adaptation methods.
https://github.com/aleedm/real-time-domain-adaptation-in-semantic-segmentation
depthwise-separable-convolutions domain-adaptation generative-adversarial-network real-time-semantic-segmentation
Last synced: 12 days ago
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This repository contains research on real-time domain adaptation in semantic segmentation, aiming at bridging the gap between synthetic and real-world imagery for urban scenes and autonomous driving, utilizing STDC models and advanced domain adaptation methods.
- Host: GitHub
- URL: https://github.com/aleedm/real-time-domain-adaptation-in-semantic-segmentation
- Owner: Aleedm
- License: mit
- Created: 2024-03-08T08:45:22.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-03-08T10:19:47.000Z (11 months ago)
- Last Synced: 2024-11-24T07:08:24.285Z (2 months ago)
- Topics: depthwise-separable-convolutions, domain-adaptation, generative-adversarial-network, real-time-semantic-segmentation
- Language: Python
- Homepage:
- Size: 462 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE