- Release the paper on arXiv.
- Release the complete code.
- Release the checkpoints.
- Release training configurations and model checkpoints on 5 additional datasets.
!!! We have open-sourced the code and model checkpoints. Note that the performance reproduced with the refactored code is fully aligned with, and in some cases shows a slight improvement over, the results reported in the paper.
| methods | e2e | mAp | config_file | log | model | |
|---|---|---|---|---|---|---|
| PLA | Y | 56.43 | point2rbox_v3-1x-dotav1-0 | 20251022_160639 | dota_evaluation_results_feedback_of_task1 | epoch_12.pth |
| Point2RBox-v3 | Y | 61.38 | point2rbox_v3-1x-dotav1-0 | 20251022_160639 | dota_evaluation_results_feedback_of_task1 | epoch_12.pth |
| Point2RBox-v3 | N | 67.24 | rotated-fcos-1x-dotav1-0-using-pseudo | 20251028_191527 | dota_evaluation_results_feedback_of_task1 | epoch_12.pth |
| method | dataset | e2e | mAp | config_file | log | text info | model |
|---|---|---|---|---|---|---|---|
| Point2RBox-v3 | STAR | Y | 16.20 | point2rbox_v3-1x-star | 20251031_181448 | results-tab-409093 | epoch_12.pth |
| Point2RBox-v3 | STAR | N | 19.60 | rotated-fcos-1x-star-using-pseudo | 20251102_001001 | results-tab-350178 | epoch_12.pth |
| Point2RBox-v3 | DIOR | Y | 41.70 | point2rbox_v3-1x-dior | 20251031_202113 | x | epoch_12.pth |
| Point2RBox-v3 | DIOR | N | 46.60 | rotated-fcos-1x-dior-using-pseudo | 20251101_135239 | x | epoch_12.pth |
| Point2RBox-v3 | DOTAV1-5 | Y | 49.08 | point2rbox_v3-1x-dotav1-5 | 20251108_172545 | DOTA-v1.5_Evaluation_Results_Feedback_of_Task1 | epoch_12.pth |
- Visual Comparison & Radar Evaluation.
- An Overview of Point2RBox-v3 and Pipeline.
- The process of Progressive Label Assignment (PLA).
- Comparison between watershed and SAM masks on DOTA-v1.0.
- Detection performance of all categories and the mean AP50 on the DOTA-v1.0
- AP$_{50}$ comparisons on the DOTA-v1.0/1.5/2.0, DIOR, STAR, and RSAR datasets.
- AP$_{50}$ comparison on DOTA-v1.0/v1.5 under the partial weakly-supervised setting.
If you have any questions about this paper or code, feel free to email me at zhangteng@sjtu.edu.cn. This ensures I can promptly notice and respond!