miguelvr / dropblockLinks
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
☆596Updated 5 years ago
Alternatives and similar repositories for dropblock
Users that are interested in dropblock are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models☆294Updated 5 years ago
- Standardizing weights to accelerate micro-batch training☆550Updated 3 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆313Updated 5 years ago
- PyTorch implementation of AutoAugment.☆159Updated 5 years ago
- Pytorch implementation of newly added convolution☆587Updated 5 years ago
- Implementing Attention Augmented Convolutional Networks using Pytorch☆654Updated 3 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆551Updated 5 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆420Updated last year
- a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results☆868Updated 4 years ago
- A New Optimization Technique for Deep Neural Networks☆538Updated 3 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆338Updated 4 years ago
- PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss☆335Updated 3 years ago
- Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"☆441Updated 3 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 4 years ago
- PyTorch implementation of DeepLabv3☆258Updated 4 years ago
- Code for paper☆560Updated 3 years ago
- Compute CNN receptive field size in pytorch in one line☆362Updated last year
- A light-weight, power efficient, and general purpose convolutional neural network☆451Updated 4 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆696Updated 3 years ago
- @CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact biline…☆275Updated 4 years ago
- Implementation of the mixup training method☆466Updated 7 years ago
- Feature Pyramid Networks in PyTorch☆482Updated 7 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆475Updated 9 months ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018☆544Updated 6 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆635Updated 2 years ago
- Reproduces ResNet-V3 with pytorch☆516Updated 5 years ago
- Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!☆810Updated 4 years ago
- CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.☆355Updated 3 years ago