hityzy1122 / opencv_transforms_torchvision
opencv reimplement for transforms in torchvision
☆194Updated last year
Alternatives and similar repositories for opencv_transforms_torchvision:
Users that are interested in opencv_transforms_torchvision are comparing it to the libraries listed below
- OpenCV implementation of Torchvision's image augmentations☆377Updated 3 years ago
- Synchronized Multi-GPU Batch Normalization☆223Updated 5 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆182Updated 5 years ago
- How to use Cross Replica / Synchronized Batchnorm in Pytorch☆249Updated 5 years ago
- Model Scope in PyTorch (include Params, FLOPs, Madds).☆121Updated 5 years ago
- Filter Response Normalization Layer in PyTorch☆121Updated 4 years ago
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆196Updated 4 years ago
- ☆153Updated 4 years ago
- Context-driven data augmentation for Object Detection (ECCV'18)☆118Updated 6 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆309Updated 5 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆590Updated 4 years ago
- RetinaMask☆339Updated 5 years ago
- @CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact biline…☆271Updated 3 years ago
- A Pytorch implementation of Fast AutoAugment and EfficientNet☆119Updated 5 years ago
- Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)☆87Updated 5 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆86Updated 5 years ago
- The saliency-based is a distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a…☆163Updated 6 years ago
- Res2Net architecture with improved stem and Mish activation function☆136Updated 5 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated 8 months ago
- Compact Generalized Non-local Network (NIPS 2018)☆259Updated 3 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆254Updated 6 years ago
- The official TensorFlow implementation of WS-DAN.☆109Updated 4 years ago
- Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"☆183Updated 5 months ago
- Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"☆201Updated 6 years ago
- Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"☆399Updated 5 years ago
- Standardizing weights to accelerate micro-batch training☆546Updated 2 years ago
- Semi-supervised ImageNet1K models☆241Updated 5 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆264Updated 5 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆172Updated 6 years ago