https://deeplearning.earth/tags/rotated-fcos/Recent content in Rotated-Fcos on DeepLearning.EarthHugo -- gohugo.ioen-usThu, 03 Sep 2026 12:30:00 +0700https://deeplearning.earth/posts/2026-09-02_rotated_fcos_vs_oriented_rcnn_on_macos/Wed, 02 Sep 2026 15:00:00 +0700https://deeplearning.earth/posts/2026-09-02_rotated_fcos_vs_oriented_rcnn_on_macos/In June we ran Oriented R-CNN on a MacBook with --device mps — no CUDA toolchain, one CLI command, rotated boxes on a real aerial tile. v0.2.0 added a fourth detector family: Rotated FCOS, an anchor-free single-stage model with a decoded-rIoU 3× Hub checkpoint. This post puts both on the same Mac and the same images. Same canvas, same NMS, same score floor — Apple M1 Max, PyTorch MPS, Hub 3× weights.https://deeplearning.earth/posts/2026-08-28_oriented-det_v0_2_0_rotated_fcos_decoded_riou_and_the_updated_zoo/Fri, 28 Aug 2026 09:00:00 +0700https://deeplearning.earth/posts/2026-08-28_oriented-det_v0_2_0_rotated_fcos_decoded_riou_and_the_updated_zoo/Six weeks after v0.1.1, Oriented-Det v0.2.0 is on PyPI and tagged on GitHub. The headline is a new detector family: Rotated FCOS, an anchor-free single-stage model that sits in the zoo as the balanced pick — close to Rotated Faster R-CNN accuracy, without a region proposal network. This post is the release note: what landed, which Hub slug to download, and how the loss recipe (not the architecture name) is what moved the number.