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
Sorting:
- Simple classifier to classify SVHN images, based on Keras with the Tensorflow backend.☆17Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- A general method for training cost-sensitive robust classifier☆22Updated 5 years ago
- implementation of BiGAN model using tensorflow☆16Updated 6 years ago
- ☆29Updated 6 years ago
- Tensorflow Implementation for paper "self-supervised generative adversarial networks"☆38Updated 4 years ago
- It turns out that adversarial and clean data are not twins, not at all.☆19Updated 8 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆41Updated 6 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 6 years ago
- Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"☆24Updated 7 years ago
- Least Squares GANs in Tensorflow☆17Updated 8 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Updated 5 years ago
- In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)☆39Updated 5 years ago
- Code for the Adversarial Image Detectors and a Saliency Map☆12Updated 8 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- VectorDefense: Vectorization as a Defense to Adversarial Examples --->☆13Updated 7 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 6 years ago
- Implemented Split-Brain Autoencoder by Zhang et al.☆8Updated 6 years ago
- Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"☆31Updated 5 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆61Updated 6 years ago
- A collection of Deep Learning papers I read, sorted by category.☆9Updated 6 years ago
- PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion☆21Updated 6 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning☆40Updated 6 years ago
- f-GANs in an Information Geometric Nutshell☆13Updated 7 years ago
- Code accompanying the paper Sobolev GAN https://arxiv.org/abs/1711.04894☆12Updated 7 years ago
- Python scripts to facilitate easy working☆11Updated 10 months ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆22Updated 6 years ago