szq0214 / CMC_with_Image_MixtureLinks
pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"
☆18Updated 5 years ago
Alternatives and similar repositories for CMC_with_Image_Mixture
Users that are interested in CMC_with_Image_Mixture are comparing it to the libraries listed below
Sorting:
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated last year
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 4 years ago
- ☆46Updated 2 years ago
- Code for SelfAugment☆27Updated 4 years ago
- ☆24Updated 3 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 4 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆63Updated 5 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Updated 5 years ago
- ☆21Updated 5 years ago
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated 2 years ago
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆25Updated 4 years ago
- sidetuning.berkeley.edu☆71Updated 2 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Out-of-distribution generalization benchmarks for image recognition models☆14Updated 5 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆22Updated 3 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 4 years ago
- ☆28Updated 5 years ago
- ☆18Updated 6 years ago
- A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.☆77Updated 4 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago
- Training scripts and Python modules for the ECCV 2018 paper "Interpolating Convolutional Networks Using Batch Normalization"☆11Updated 5 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62Updated 2 years ago
- Code for generating a single image pretraining dataset☆13Updated 4 years ago