creafz / pytorch-cnn-finetuneLinks
Fine-tune pretrained Convolutional Neural Networks with PyTorch
☆725Updated last year
Alternatives and similar repositories for pytorch-cnn-finetune
Users that are interested in pytorch-cnn-finetune are comparing it to the libraries listed below
Sorting:
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆553Updated 5 years ago
- Stochastic Weight Averaging in PyTorch☆975Updated 4 years ago
- RetinaNet in PyTorch☆999Updated 6 years ago
- Reproduces ResNet-V3 with pytorch☆516Updated 5 years ago
- A PyTorch implementation of DenseNet.☆838Updated 7 years ago
- Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…☆869Updated 5 years ago
- Weakly Supervised Learning On Images☆601Updated 3 years ago
- Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)☆371Updated 6 years ago
- Improving Convolutional Networks via Attention Transfer (ICLR 2017)☆1,462Updated 7 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,489Updated 2 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆799Updated 5 years ago
- mixup: Beyond Empirical Risk Minimization☆1,191Updated 3 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆596Updated 5 years ago
- A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)☆481Updated 7 years ago
- Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST☆732Updated last year
- Dilated Residual Networks☆1,105Updated 5 years ago
- A memory-efficient implementation of DenseNets☆1,536Updated 2 years ago
- An implementation of "mixup: Beyond Empirical Risk Minimization"☆286Updated 7 years ago
- ☆379Updated 6 years ago
- Implementation of the mixup training method☆466Updated 7 years ago
- Classification with PyTorch.☆1,740Updated last year
- 3.8% and 18.3% on CIFAR-10 and CIFAR-100☆1,310Updated 6 years ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,045Updated 4 years ago
- Pytorch implementation of newly added convolution☆587Updated 5 years ago
- Image Segmentation and Object Detection in Pytorch☆751Updated 3 years ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,610Updated 4 years ago
- Code for the Lovász-Softmax loss (CVPR 2018)☆1,400Updated last year
- A short tutorial on performing fine tuning or transfer learning in PyTorch.☆285Updated 7 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆313Updated 5 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 4 years ago