Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
-
Updated
Nov 24, 2020 - Python
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
This repository enables training Ultralytics object detection models with the anchor-free LADA assignment algorithm and DFL-based regression. Multi-model feature fusion, joint training, and hybrid inference are also supported.
Add a description, image, and links to the dfl topic page so that developers can more easily learn about it.
To associate your repository with the dfl topic, visit your repo's landing page and select "manage topics."