acht7111020 / CNN_object_classification
Simple object classification project with deep-learning. We choose CIFAR10, CIFAR100 and Caltech101 as training datasets.
☆15Updated 7 years ago
Alternatives and similar repositories for CNN_object_classification:
Users that are interested in CNN_object_classification are comparing it to the libraries listed below
- It turns out that adversarial and clean data are not twins, not at all.☆19Updated 8 years ago
- ☆29Updated 6 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆22Updated 6 years ago
- Pytorch Code for Semi-supervised Learning on MNIST Data Set☆12Updated 8 years ago
- reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch☆16Updated 7 years ago
- Implemented Split-Brain Autoencoder by Zhang et al.☆8Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 5 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆12Updated 5 years ago
- VectorDefense: Vectorization as a Defense to Adversarial Examples --->☆13Updated 6 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness☆39Updated 6 years ago
- Tensorflow Implementation for paper "self-supervised generative adversarial networks"☆39Updated 4 years ago
- ☆9Updated 7 years ago
- Code for the Adversarial Image Detectors and a Saliency Map☆12Updated 8 years ago
- Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"☆31Updated 5 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Unofficial implementation of the paper 'Adversarial Training for Free'☆21Updated 5 years ago
- Simple classifier to classify SVHN images, based on Keras with the Tensorflow backend.☆17Updated 7 years ago
- A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neur…☆15Updated 3 years ago
- This is the repository for the code used in writing the paper, 'Generative Adversarial Network Architectures For Image Synthesis Using Ca…☆9Updated 6 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16Updated 5 years ago
- PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion☆21Updated 6 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 2 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 5 years ago
- Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".☆36Updated 5 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Updated 5 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 7 years ago