vithursant / MagnetLoss-PyTorchLinks
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
☆219Updated last year
Alternatives and similar repositories for MagnetLoss-PyTorch
Users that are interested in MagnetLoss-PyTorch are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆95Updated 7 years ago
- A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch☆123Updated 7 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆77Updated 7 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆66Updated 3 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated 2 years ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆114Updated 7 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆173Updated 7 years ago
- Deep metric learning methods implemented in Chainer☆158Updated 6 years ago
- Pytorch implementation of MaxPoolingLoss.☆176Updated 7 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆182Updated 5 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- ☆222Updated 5 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆138Updated 6 years ago
- CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images☆159Updated 4 years ago
- Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'☆116Updated 8 years ago
- ☆138Updated 8 years ago
- visualization of CNN in PyTorch☆155Updated last year
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆295Updated 6 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Main repository for Deep Metric Learning via Lifted Structured Feature Embedding☆348Updated 5 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- Recent few-shot meta-learning papers☆86Updated 7 years ago
- Diffusion on manifolds for image retrieval☆126Updated 5 years ago
- Codes and models for the CVPR 2017 spotlight paper "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint …☆78Updated 6 years ago
- Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"☆98Updated 7 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆165Updated 3 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆265Updated 5 years ago
- Transfer Learning Shootout for PyTorch's model zoo (torchvision)☆169Updated 4 years ago