Here are
17 public repositories
matching this topic...
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
Updated
Jul 5, 2021
Python
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
Updated
Mar 8, 2018
Python
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
Updated
Nov 24, 2020
Python
Focal Loss of multi-classification in tensorflow
Updated
Feb 25, 2019
Python
Multi-Label Image Classification of Chest X-Rays In Pytorch
Updated
Nov 25, 2019
Python
RetinaNet implementation in PyTorch
Updated
Oct 10, 2017
Python
An unofficial implementation of ICCV 2017 RetinaNet (Focal Loss).
Updated
Jul 27, 2018
Python
Updated
May 2, 2021
Python
Focal loss implemention by PyTorch
Updated
Dec 16, 2018
Python
focal loss (multi-class) for lightgbm/xgboost
Updated
Apr 18, 2021
Python
Label Smoothing applied in Focal Loss
Updated
Oct 26, 2020
Python
PyTorch implementation of RetinaNet
Updated
Apr 17, 2018
Python
Implement RetinaNet with TensorFlow.eager
Updated
Dec 8, 2017
Python
Pytorch implementation of Class Balanced Loss based on Effective number of Samples
Updated
May 18, 2023
Python
PyTorch implementation of focal loss for multi-class semantic segmentation
Updated
Aug 30, 2023
Python
An intuitive pytorch implementation of softmax focal loss which can be used to train classification and segmentation tasks.
Updated
May 25, 2022
Python
Updated
Sep 5, 2022
Python
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