ViTAE-Transformer / RSP

The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"

Date Created 2023-03-30 (about a year ago)

Commits 80 (last one 2 months ago)

Stargazers 125 (0 this week)

Watchers 2 (0 this week)

Forks 6

License mit

Ranking

RepositoryStats indexes 523,840 repositories, of these ViTAE-Transformer/RSP is ranked #230,777 (56th percentile) for total stargazers, and #442,567 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #40,993/100,813.

ViTAE-Transformer/RSP is also tagged with popular topics, for these it's ranked: deep-learning (#4,255/7720), object-detection (#587/1065), classification (#242/498), semantic-segmentation (#243/471), remote-sensing (#128/282)

Other Information

ViTAE-Transformer/RSP has 1 open pull request on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 11 open issues and 7 closed issues.

All Topics

imagenet pre-training deep-learning classification remote-sensing change-detection object-detection foundation-models transfer-learning semantic-segmentation

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80 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-05-27 @ 07:34am, id: 621321401 / R_kgDOJQicuQ