KinWaiCheuk / pytorch-triplet-lossLinks
Triplet-net and triplet loss implementation on pytorch
☆41Updated 3 years ago
Alternatives and similar repositories for pytorch-triplet-loss
Users that are interested in pytorch-triplet-loss are comparing it to the libraries listed below
Sorting:
- ☆39Updated 2 years ago
- Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️☆118Updated 3 years ago
- Metric Learning (npair loss & angular loss) on mnist and Visualizing by t_SNE☆35Updated 2 years ago
- This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…☆57Updated 7 years ago
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆107Updated 3 years ago
- Official codes: Self-Supervised Learning by Estimating Twin Class Distribution☆100Updated 3 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆51Updated 2 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆169Updated 3 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆117Updated 5 years ago
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)☆104Updated 4 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆25Updated 11 months ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 3 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆126Updated 5 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆133Updated 3 years ago
- ☆73Updated 4 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆79Updated 5 years ago
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆126Updated 4 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆92Updated 3 years ago
- Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond☆85Updated 5 years ago
- This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kor…☆26Updated 4 years ago
- Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021☆75Updated 2 years ago
- Unsupervised Domain Adaptation for Computer Vision Tasks☆110Updated 3 years ago
- Code for Class Anchor Clustering loss for training a distance-based open set classifier☆75Updated 3 years ago
- Code release for "Semi-supervised learning made simple with self-supervised clustering"☆60Updated 2 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆140Updated 2 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆104Updated 2 months ago
- Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"☆160Updated 2 years ago
- ☆151Updated 3 years ago