Pretrained Weights for Sparse R-CNN OBB
Kamirul, Kamirul; Pappas, Odysseas; Achim, Alin;
Pretrained Weights for Sparse R-CNN OBB
This archive contains pretrained weights for the Sparse R-CNN OBB model, as implemented in the repository github.com/ka-mirul/Sparse-R-CNN-OBB. These weights are trained for oriented bounding box detection and are provided as a complementary resource to the main codebase.Please refer to the repository for training details, model usage, and citation instructions.
- Badan Riset dan Inovasi Nasional Indonesia
- University of Bristol United Kingdom
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average