fg91 / visualizing-cnn-feature-maps
Visualizing CNN filters using PyTorch
☆235Updated 5 years ago
Alternatives and similar repositories for visualizing-cnn-feature-maps:
Users that are interested in visualizing-cnn-feature-maps are comparing it to the libraries listed below
- Class Activation Mapping written in PyTorch.☆152Updated 2 years ago
- Visualisation tool for CNNs in pytorch☆254Updated 2 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆796Updated 5 years ago
- A generalized gradient-based CNN visualization technique☆289Updated 6 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆311Updated 5 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆740Updated last year
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆594Updated 4 years ago
- A Simple pytorch implementation of GradCAM and GradCAM++☆376Updated 6 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- Standardizing weights to accelerate micro-batch training☆547Updated 3 years ago
- @CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact biline…☆274Updated 3 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆338Updated 5 years ago
- Compute CNN receptive field size in pytorch in one line☆359Updated 11 months ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆126Updated 7 years ago
- PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)☆165Updated 4 years ago
- Implementing Attention Augmented Convolutional Networks using Pytorch☆650Updated 3 years ago
- A simple tutorial to use Visdom to plot your PyTorch training graphs☆127Updated 6 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆514Updated last week
- U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597☆276Updated 7 years ago
- Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims …☆236Updated 6 years ago
- A journey into Convolutional Neural Network visualization☆267Updated 6 years ago
- Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018☆195Updated 6 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆798Updated last year
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 5 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆216Updated 5 years ago
- A script that applies the AdaIN style transfer method to arbitrary datasets☆159Updated 3 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆454Updated 5 years ago
- An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.☆164Updated 4 years ago