dl-loss Goto Github PK
Type: Organization
Type: Organization
some loss functions of image segmentation
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
PyTorch code for training neural networks without global back-propagation
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
Code for the Lovász-Softmax loss (CVPR 2018)
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.
A PyTorch implementation of center loss on MNIST
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
Implementation of some unbalanced loss like focal_loss, dice_loss, DSC Loss, GHM Loss et.al
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
The brief implementation and using examples of object detection usages like, IoU, NMS, soft-NMS, SmoothL1、IoU loss、GIoU loss、 DIoU loss、CIoU loss, cross-entropy、focal-loss、GHM, AP/MAP and so on by Pytorch.
Pytorch implementation of Center Loss
Implementation of discriminative loss for instance segmentation by pytorch
PyTorch implementation for Histogram Loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
pytorch structural similarity (SSIM) loss
NEG loss implemented in pytorch
STOI loss function in PyTorch
Official PyTorch Implementation of Rank & Sort Loss for Object Detection and Instance Segmentation [ICCV2021]
Experimenting with different regression losses. Implemented in Pytorch.
Pytorch implementation of Repulsion Loss on RetinaNet
MS-Loss: Multi-Similarity Loss for Deep Metric Learning
Regularized Losses (rloss) for Weakly-supervised CNN Segmentation
A collection of loss functions for medical image segmentation
This Repository is implementation of majority of Semantic Segmentation Loss Functions
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