google / revisiting-self-supervised
☆352Updated 5 years ago
Alternatives and similar repositories for revisiting-self-supervised:
Users that are interested in revisiting-self-supervised are comparing it to the libraries listed below
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆585Updated 3 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 4 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆249Updated 3 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 5 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 6 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 6 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆145Updated 2 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'☆193Updated 5 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆216Updated 5 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 7 months ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 6 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆181Updated 4 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆182Updated 5 years ago
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- ☆182Updated 2 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- Visualizing how deep networks make decisions☆66Updated 5 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆308Updated 3 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆141Updated 5 years ago
- ☆130Updated 2 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 6 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated last year
- Meta-Learning based Noise-Tolerant Training☆123Updated 4 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆269Updated 6 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆82Updated 5 years ago