: Rotated-Fcos
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Rotated FCOS vs Oriented R-CNN on macOS
Hands-on Apple Silicon comparison of Hub 3× DOTA checkpoints — Rotated FCOS (82.32% eval-val) vs Oriented R-CNN (79.40%) — MPS latency, training wall on NVIDIA L4 (~5.7× faster for FCOS), score thresholds, and side-by-side detections.
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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× checkpoint at 81.58% eval-val mAP50, and the same Apache 2.0 stack.