Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
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Updated
Jul 5, 2021 - Python
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow
Focal Loss of multi-classification in tensorflow
Multi-Label Image Classification of Chest X-Rays In Pytorch
RetinaNet implementation in PyTorch
An unofficial implementation of ICCV 2017 RetinaNet (Focal Loss).
the loss function in Aritcal ‘Focal Loss for Dense Object Detection‘’
PyTorch implementation of RetinaNet
Label Smoothing applied in Focal Loss
Implement RetinaNet with TensorFlow.eager
“This repository contains code and results for COVID-19 .”
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