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 SelfAugment☆27Updated 4 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
- ☆23Updated 6 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 3 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated 10 months ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- Unofficial implementation of Stand-Alone Self-Attention in Vision Models (obsolete)☆44Updated 5 years ago
- ☆46Updated 2 years ago
- ☆28Updated 5 years ago
- ☆24Updated 2 years ago
- PyTorch code for: Frustratingly Simple Domain Generalization via Image Stylization☆24Updated 4 years ago
- ☆20Updated 2 years ago
- Code for generating a single image pretraining dataset☆13Updated 3 years ago
- models and tools for -What makes ImageNet good for Transfer Learning?☆25Updated 7 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 4 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Updated 2 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- ☆18Updated 5 years ago
- PyTorch implementation of PatchAutoAugment☆23Updated 3 years ago
- Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".☆16Updated 3 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- ☆48Updated 5 years ago
- Evaluating AlexNet features at various depths☆39Updated 4 years ago
- Training scripts and Python modules for the ECCV 2018 paper "Interpolating Convolutional Networks Using Batch Normalization"☆12Updated 4 years ago
- Code for "Are labels necessary for neural architecture search"☆92Updated last year
- sidetuning.berkeley.edu☆71Updated 2 years ago
- ☆49Updated 5 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago