: Pretrained-Models
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Oriented-Det v0.2.0 — Rotated FCOS, decoded rIoU, and a four-family zoo
Oriented-det v0.2.0 is on PyPI — Rotated FCOS joins the zoo as the balanced one-stage detector, with a decoded rIoU 3× Hub checkpoint at 82.32% eval-val mAP50, and the same Apache 2.0 stack.
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Rotated Faster R-CNN on DOTA without custom CUDA: sampled rIoU, ProbIoU, and an 83.4% checkpoint
Why OrientedDet avoids MMRotate's exact CUDA IoU kernels, how ProbIoU trains oriented boxes in pure PyTorch, and results from our published 3× DOTA le90 model.
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Announcing the Oriented R-CNN 3× pretrained model
The OrientedDet DOTA le90 pretrained zoo is complete. Oriented R-CNN 3× reaches 79.4% eval-val mAP50; Rotated Faster R-CNN 3× with ProbIoU now leads the zoo at 83.4%.