facebookresearch / semi-supervised-ImageNet1K-models
Semi-supervised ImageNet1K models
☆241Updated 5 years ago
Alternatives and similar repositories for semi-supervised-ImageNet1K-models:
Users that are interested in semi-supervised-ImageNet1K-models are comparing it to the libraries listed below
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆333Updated 3 years ago
- PyTorch implementation of AutoAugment.☆158Updated 4 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆471Updated last month
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆309Updated 5 years ago
- ☆153Updated 4 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆264Updated 5 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆249Updated 3 years ago
- Unofficial PyTorch Implementation of EvoNorm☆121Updated 3 years ago
- SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)☆129Updated 4 years ago
- ☆401Updated 2 years ago
- A Pytorch implementation of Fast AutoAugment and EfficientNet☆119Updated 5 years ago
- Standardizing weights to accelerate micro-batch training☆546Updated 2 years ago
- Implementing Lambda Networks using Pytorch☆138Updated 4 years ago
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.☆167Updated 2 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆585Updated 3 years ago
- Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims …☆236Updated 6 years ago
- Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)☆168Updated 2 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆591Updated 4 years ago
- Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"☆326Updated 4 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 4 years ago
- Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)☆196Updated 4 years ago
- A TensorFlow re-implementation of Momentum Contrast (MoCo): https://arxiv.org/abs/1911.05722☆161Updated last year
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- ☆35Updated 5 years ago
- ☆130Updated 4 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆86Updated 5 years ago
- ☆130Updated 2 years ago
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆62Updated 5 years ago
- The official implementation of Equalization Loss for Long-Tailed Object Recognition (CVPR 2020) based on Detectron2. https://arxiv.org/a…☆202Updated last year
- Res2Net architecture with improved stem and Mish activation function☆136Updated 5 years ago