weiaicunzai / Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_NetworksLinks
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
☆735Updated 6 years ago
Alternatives and similar repositories for Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks
Users that are interested in Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks are comparing it to the libraries listed below
Sorting:
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessing☆885Updated 5 years ago
- PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet☆1,419Updated 3 years ago
- a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results☆868Updated 4 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,492Updated 2 years ago
- mixup: Beyond Empirical Risk Minimization☆1,190Updated 3 years ago
- Classification with PyTorch.☆1,738Updated last year
- pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...☆758Updated 4 years ago
- This is a list of awesome methods about data augmentation.☆793Updated 4 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆799Updated 5 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆596Updated 5 years ago
- Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST☆732Updated last year
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆668Updated 2 years ago
- Official Pytorch implementation of CutMix regularizer☆1,244Updated 5 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆551Updated 5 years ago
- Implementing Attention Augmented Convolutional Networks using Pytorch☆654Updated 3 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆635Updated 2 years ago
- A PyTorch implementation of WS-DAN (Weakly Supervised Data Augmentation Network) for FGVC (Fine-Grained Visual Classification)☆411Updated 5 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
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 3 years ago
- pytorch and cifar10☆215Updated 4 years ago
- Train the HRNet model on ImageNet☆1,030Updated 3 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆867Updated 3 years ago
- Pytorch implementation of Center Loss☆992Updated 2 years ago
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization☆584Updated 2 years ago
- Implementation of the mixup training method☆466Updated 7 years ago
- This is the PyTorch implementation of VGG network trained on CIFAR10 dataset☆355Updated 6 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks☆844Updated 2 years ago
- PyTorch implementation of CNNs for CIFAR benchmark☆708Updated 4 years ago
- Lists the papers related to imbalance problems in object detection [TPAMI]☆1,133Updated 4 years ago