Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
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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. DFL-based regression is used instead of deviation loss. Multi-model feature fusion, joint training, and hybrid inference are also supported.
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