Prashanth0205/Transformer-based-CNN-Approach-for-RS-Scene-Classification
View on GitHub ↗Related repositories →Remote Sensing Natural Scene Classification on five open source datasets at different resolutions containing diverse class. Comparison with six architectures decided based on the foundational building block such as convolution, skip connections, Transformers and next gen-convnets.
active 2024-05-13 → 2024-05-17 (UTC)
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Line chart, 5 days from 2024-05-13 to 2024-05-17. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Prashanth0205 | 2 | 2 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.