szagoruyko / attention-transferLinks
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
☆1,461Updated 7 years ago
Alternatives and similar repositories for attention-transfer
Users that are interested in attention-transfer are comparing it to the libraries listed below
Sorting:
- A memory-efficient implementation of DenseNets☆1,539Updated 2 years ago
- A PyTorch implementation of DenseNet.☆842Updated 7 years ago
- 3.8% and 18.3% on CIFAR-10 and CIFAR-100☆1,309Updated 6 years ago
- Reproduces ResNet-V3 with pytorch☆519Updated 5 years ago
- Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…☆870Updated 5 years ago
- Classification with PyTorch.☆1,746Updated last year
- CondenseNet: Light weighted CNN for mobile devices☆691Updated 6 years ago
- A PyTorch implementation of MobileNet V2 architecture and pretrained model.☆1,403Updated 6 years ago
- PyTorch implementation of Deformable Convolution☆910Updated 4 years ago
- Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeN…☆2,705Updated 3 years ago
- A state-of-the-art semi-supervised method for image recognition☆1,641Updated 5 years ago
- Fine-tune pretrained Convolutional Neural Networks with PyTorch☆724Updated last year
- Class Activation Mapping☆1,877Updated 3 years ago
- A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)☆482Updated 7 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆554Updated 5 years ago
- Non-local Neural Networks for Video Classification☆1,992Updated 4 years ago
- Dilated Residual Networks☆1,103Updated 5 years ago
- Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)☆374Updated 6 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆885Updated 6 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,493Updated 2 years ago
- A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".☆1,748Updated 7 years ago
- Model analyzer in PyTorch☆1,500Updated 2 years ago
- A CV toolkit for my papers.☆2,048Updated 11 months ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,074Updated 6 years ago
- Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST☆733Updated 2 years ago
- Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）☆461Updated 6 years ago
- NAS-Bench-201 API and Instruction☆640Updated 3 weeks ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Updated 5 years ago
- mixup: Beyond Empirical Risk Minimization☆1,193Updated 4 years ago
- a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results☆871Updated 4 years ago