Megvii-BaseDetection/DeFCN
PyTorch implementation of an end-to-end object detection model using fully convolutional networks.
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This repository provides a PyTorch reimplementation of the paper End-to-End Object Detection with Fully Convolutional Network. The project builds on the cvpods framework and implements a detection model trained on COCO, using one-to-many label assignment with NMS-free detection head. It supports multi-GPU and multi-node training via distributed training commands.
Frequently asked
- What is Megvii-BaseDetection/DeFCN?
- PyTorch implementation of an end-to-end object detection model using fully convolutional networks.
- Is DeFCN open source?
- Yes — Megvii-BaseDetection/DeFCN is open source, released under the Apache-2.0 license.
- What language is DeFCN written in?
- Megvii-BaseDetection/DeFCN is primarily written in Python.
- How popular is DeFCN?
- Megvii-BaseDetection/DeFCN has 493 stars on GitHub.
- Where can I find DeFCN?
- Megvii-BaseDetection/DeFCN is on GitHub at https://github.com/Megvii-BaseDetection/DeFCN.