ramprs / grad-cam
[ICCV 2017] Torch code for Grad-CAM
☆1,479Updated 2 years ago
Related projects: ⓘ
- Class Activation Mapping☆1,840Updated 2 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆783Updated 4 years ago
- PyTorch implementation of SENet☆2,270Updated 3 years ago
- Classification with PyTorch.☆1,676Updated 3 months ago
- ResNeSt: Split-Attention Networks☆3,223Updated last year
- Squeeze-and-Excitation Networks☆3,369Updated 5 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,458Updated last year
- A memory-efficient implementation of DenseNets☆1,514Updated last year
- Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-…☆1,984Updated this week
- Deep Clustering for Unsupervised Learning of Visual Features☆1,663Updated 2 years ago
- mixup: Beyond Empirical Risk Minimization☆1,156Updated 2 years ago
- PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet☆1,344Updated 2 years ago
- Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"☆2,039Updated last year
- A state-of-the-art semi-supervised method for image recognition☆1,577Updated 3 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,133Updated 5 months ago
- Pytorch implementation of convolutional neural network visualization techniques☆7,813Updated last year
- 3D ResNets for Action Recognition (CVPR 2018)☆3,869Updated 3 years ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,088Updated last year
- A CV toolkit for my papers.☆2,038Updated 3 months ago
- PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)☆1,743Updated last year
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,002Updated 6 months ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,251Updated 2 months ago
- Semantic Segmentation Architectures Implemented in PyTorch☆3,383Updated 11 months ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,588Updated 3 years ago
- Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.☆1,941Updated 6 months ago
- An implementation of Grad-CAM with keras☆657Updated 5 years ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,049Updated last year
- Code for the Lovász-Softmax loss (CVPR 2018)☆1,378Updated 5 months ago
- Official Pytorch implementation of CutMix regularizer☆1,214Updated 4 years ago
- A PyTorch implementation of DenseNet.☆822Updated 6 years ago