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tianzhi0549/FCOS

FCOS is an anchor-free, fully convolutional one-stage object detection algorithm implemented in PyTorch.

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This repository hosts the PyTorch implementation of the FCOS algorithm for object detection, presented at ICCV 2019. The model achieves state-of-the-art performance on the COCO dataset without using anchor boxes, instead treating object detection as a per-pixel prediction problem. It includes training scripts, pre-trained models, and ONNX export capabilities.

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