Alternatives and similar repositories for OnlineMiningTripletLoss:

Users that are interested in OnlineMiningTripletLoss are comparing it to the libraries listed below

• Confusezius / Revisiting_Deep_Metric_Learning_PyTorch
  (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…
  ☆341Updated 2 years ago
• YirongMao / softmax_variants
  PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss
  ☆254Updated 6 years ago
• idstcv / SoftTriple
  PyTorch Implementation for SoftTriple Loss
  ☆203Updated 5 months ago
• cvqluu / Angular-Penalty-Softmax-Losses-Pytorch
  Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
  ☆485Updated last year
• alfonmedela / triplet-loss-pytorch
  Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
  ☆114Updated 2 years ago
• msight-tech / research-ms-loss
  MS-Loss: Multi-Similarity Loss for Deep Metric Learning
  ☆494Updated 2 years ago
• dichotomies / proxy-nca
  PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.
  ☆181Updated 4 years ago
• Confusezius / Deep-Metric-Learning-Baselines
  PyTorch Implementation for Deep Metric Learning Pipelines
  ☆570Updated 4 years ago
• tjddus9597 / Proxy-Anchor-CVPR2020
  Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
  ☆315Updated 2 years ago
• jeromerony / dml_cross_entropy
  Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
  ☆168Updated 2 years ago
• bnu-wangxun / Deep_Metric
  Deep Metric Learning
  ☆779Updated 4 years ago
• mangye16 / Unsupervised_Embedding_Learning
  Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
  ☆209Updated 5 years ago
• msight-tech / research-xbm
  XBM: Cross-Batch Memory for Embedding Learning
  ☆307Updated 2 years ago
• azgo14 / classification_metric_learning
  ☆101Updated 2 years ago
• facebookresearch / DeeperCluster
  Implements the unsupervised pre-training of convolutional neural networks
  ☆249Updated 3 years ago
• CompVis / metric-learning-divide-and-conquer
  Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
  ☆264Updated 5 years ago
• KevinMusgrave / powerful-benchmarker
  A library for ML benchmarking. It's powerful.
  ☆433Updated last year
• yukimasano / self-label
  Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
  ☆538Updated 5 months ago
• andreasveit / triplet-network-pytorch
  ☆376Updated 5 years ago
• 4uiiurz1 / pytorch-adacos
  PyTorch implementation of AdaCos
  ☆211Updated 4 years ago
• vandit15 / Class-balanced-loss-pytorch
  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
  ☆787Updated 11 months ago
• imbue-ai / self_supervised
  A Pytorch-Lightning implementation of self-supervised algorithms
  ☆536Updated 2 years ago
• ecs-vlc / FMix
  Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'
  ☆333Updated 3 years ago
• amirhfarzaneh / lsoftmax-pytorch
  The Pytorch Implementation of L-Softmax
  ☆187Updated 6 years ago
• mpyrozhok / adamwr
  Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neu…
  ☆149Updated 5 years ago
• TinyZeaMays / CircleLoss
  Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"
  ☆458Updated 4 years ago
• ChaofWang / Npair_loss_pytorch
  Improved Deep Metric Learning with Multi-class N-pair Loss Objective
  ☆91Updated last year
• kunhe / FastAP-metric-learning
  Code for CVPR 2019 paper "Deep Metric Learning to Rank"
  ☆96Updated 3 years ago
• richardaecn / class-balanced-loss
  Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
  ☆606Updated 3 years ago