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active-contour-loss-pytorch

An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.

active-passive-losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

adaptivewingloss

[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation

alrploss

Official PyTorch Implementation of aLRP Loss [NeurIPS2020]

angular-penalty-softmax-losses-pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

ap-loss

The implementation of "Towards accurate one-stage object detection with AP-loss".

asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

binance-trailing-stop-loss

Provides a dynamic stop-loss that automatically adjusts as the price increases or decreases (depending on mode specified)

boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

center-loss.pytorch

center loss for face recognition

circleloss

Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

contextual_loss_pytorch

Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).

contextualloss

The Contextual Loss

contrastive_loss

Experiments with supervised contrastive learning methods with different loss functions

dccrn-with-various-loss-functions

DCCRN with various loss functions

diou-ssd-pytorch

Distance-IoU Loss into SSD

distributionbalancedloss

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

dr_loss

PyTorch Implementation for DR Loss

emo

Official repository of the paper "EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling"(https://arxiv.org/abs/2310.04691)

fenchel-young-losses

Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses

focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

focal-loss

Focal loss for Dense Object Detection

focal-loss-pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

ghm_loss.pytorch

group_loss

Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)

hausdorffloss

Implementation of Hausdorff loss function for DNN learning in segmentation tasks.

image-feature-learning-pytorch

PyTorch implementation of Center Loss & Contrastive-Center Loss.