dl-loss Goto Github PK

image-segmentation-loss-functions

some loss functions of image segmentation

kl-loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

learning-loss-for-active-learning

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

local-loss

PyTorch code for training neural networks without global back-propagation

loss_toolbox-pytorch

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

magnetloss-pytorch

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

maxsquareloss

Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.

mnist_center_loss_pytorch

A PyTorch implementation of center loss on MNIST

mutual-channel-loss

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

nlp-loss-pytorch

Implementation of some unbalanced loss like focal_loss, dice_loss, DSC Loss, GHM Loss et.al

npair_loss_pytorch

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

object-detection-usages

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-center-loss

Pytorch implementation of Center Loss

pytorch-discriminative-loss

Implementation of discriminative loss for instance segmentation by pytorch

pytorch-histogram-loss

PyTorch implementation for Histogram Loss

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

pytorch-multi-class-focal-loss

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

pytorch-ssim

pytorch structural similarity (SSIM) loss

pytorch_neg_loss

NEG loss implemented in pytorch

pytorch_stoi

STOI loss function in PyTorch

ranksortloss

Official PyTorch Implementation of Rank & Sort Loss for Object Detection and Instance Segmentation [ICCV2021]

regression-losses-pytorch

Experimenting with different regression losses. Implemented in Pytorch.

repulsion_loss

Pytorch implementation of Repulsion Loss on RetinaNet

research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

rho-loss

rloss

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

segloss

A collection of loss functions for medical image segmentation

semantic-segmentation-loss-functions

This Repository is implementation of majority of Semantic Segmentation Loss Functions