vithursant / MagnetLoss-PyTorch
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
☆222Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for MagnetLoss-PyTorch
- A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch☆123Updated 6 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆96Updated 6 years ago
- Deep metric learning methods implemented in Chainer☆158Updated 6 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆200Updated 7 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆77Updated 6 years ago
- ☆222Updated 4 years ago
- visualization of CNN in PyTorch☆154Updated last year
- Pytorch implementation of MaxPoolingLoss.☆175Updated 6 years ago
- SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.☆47Updated 7 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆172Updated 6 years ago
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)☆95Updated 7 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆136Updated last year
- The first public PyTorch implementation of Attentive Recurrent Comparators☆148Updated 7 years ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆114Updated 6 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆65Updated 2 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 5 years ago
- Transfer Learning Shootout for PyTorch's model zoo (torchvision)☆170Updated 4 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆263Updated 5 years ago
- Support powerful visual logging in PyTorch.☆102Updated 7 years ago
- PyTorch implementation of "Soft Proposal Networks for Weakly Supervised Object Localization", ICCV 2017.☆212Updated 6 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆181Updated 4 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆137Updated 6 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆296Updated 6 years ago
- CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images☆159Updated 4 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆125Updated 6 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆165Updated 3 years ago
- Recent few-shot meta-learning papers☆86Updated 6 years ago