huybery / VisualizingCNN
A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)
☆198Updated 6 years ago
Alternatives and similar repositories for VisualizingCNN:
Users that are interested in VisualizingCNN are comparing it to the libraries listed below
- Class Activation Mapping written in PyTorch.☆152Updated 2 years ago
- PyTorch implementation for Histogram Loss☆189Updated 5 years ago
- Implementation of Matthew D. Zeiler's Paper "Visualizing and Understanding Convolutional Neural Networks" [https://cs.nyu.edu/~fergus/pap…☆68Updated 7 years ago
- Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.☆93Updated 6 years ago
- pyTorch implementation of Spectral Normalization for Generative Adversarial Networks☆248Updated 2 years ago
- Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks☆237Updated 3 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 7 months ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- PyTorch implementation of Mahendran & Vedaldi, 2015: "Understanding Deep Image Representations by Inverting Them"☆39Updated 7 years ago
- a pytorch code about Residual Attention Network. This code is based on two projects from☆681Updated 6 years ago
- A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Local…☆59Updated 6 years ago
- @CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact biline…☆272Updated 3 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆273Updated 4 years ago
- A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision…☆182Updated 4 years ago
- Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18☆65Updated 3 years ago
- ☆519Updated last year
- Visualisations for Convolutional Neural Networks in Pytorch☆86Updated 7 years ago
- MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)☆414Updated 5 years ago
- The official project for CVPR19 paper: Domain-Symmetric Networks for Adversarial Domain Adaptation☆85Updated 3 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆216Updated 5 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 6 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆141Updated 5 years ago
- Class Activation Map with Pytorch☆85Updated 5 years ago
- PyTorch implementation of "Learning Deep Features for Discriminative Localization"☆27Updated last year
- An unofficial PyTorch implementation of SNGAN (ICLR 2018) and cGANs with projection discriminator (ICLR 2018).☆158Updated 5 years ago
- Global Reasoning module for visual recognition☆205Updated 3 years ago
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆219Updated 3 years ago
- ☆70Updated 8 months ago