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 11 months ago
- ☆46Updated 2 years ago
- Code for SelfAugment☆27Updated 4 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- PyTorch code for: Frustratingly Simple Domain Generalization via Image Stylization☆23Updated 5 years ago
- ☆24Updated 3 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆61Updated 5 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Updated 5 years ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated 2 years ago
- ☆23Updated 6 years ago
- Unofficial implementation of Stand-Alone Self-Attention in Vision Models (obsolete)☆44Updated 6 years ago
- ☆18Updated 6 years ago
- ☆28Updated 5 years ago
- ☆49Updated 5 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆23Updated 3 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- sidetuning.berkeley.edu☆71Updated 2 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- ☆42Updated 4 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)☆40Updated 5 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Training scripts and Python modules for the ECCV 2018 paper "Interpolating Convolutional Networks Using Batch Normalization"☆12Updated 5 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago