buiduchanh / Learning-Deep-Features-for-One-Class-ClassificationLinks
#Deep One class #Anomaly Detection
☆49Updated 6 years ago
Alternatives and similar repositories for Learning-Deep-Features-for-One-Class-Classification
Users that are interested in Learning-Deep-Features-for-One-Class-Classification are comparing it to the libraries listed below
Sorting:
- Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection…☆193Updated 6 years ago
- Keras implementation of Adversarially Learned One-Class Classifier or ALOCC for short.☆34Updated 4 years ago
- Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations☆23Updated 5 years ago
- This is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".☆53Updated 6 years ago
- ☆62Updated 5 years ago
- [5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow…☆128Updated 5 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Fence GAN: Towards Better Anomaly Detection☆39Updated 4 years ago
- Unsupervised anomaly detection with generative model, keras implementation☆181Updated 5 years ago
- Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)☆224Updated 4 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 4 years ago
- Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset☆40Updated 7 years ago
- One-shot learning for image classification using Siamese neural networks☆36Updated 6 years ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆36Updated last year
- This is an implementation of compact bilinear CNN using keras☆24Updated 6 years ago
- ☆23Updated 5 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 4 years ago
- CS_IOC5008 Visual Recognition using Deep Learning: Image Classification for grey natural scene images with <4000 annotated data☆40Updated 5 years ago
- Anomaly detection on X-Ray MURA dataset using GAN.☆50Updated 6 years ago
- Simple Keras implementation of Triplet-Center Loss on the MNIST dataset☆45Updated 5 years ago
- Deep One-Class Classification using Intra-Class Splitting☆15Updated 5 years ago
- (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer☆22Updated 3 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆128Updated 5 years ago
- Bilinear CNN implementation using keras☆35Updated 6 years ago
- An example implementation of triplet-loss in tensorflow using keras☆55Updated 5 years ago
- It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper …☆38Updated 6 years ago
- PyTorch implementation of RICAP (Random Image Cropping And Patching)☆39Updated 6 years ago
- Implementation of "Metric Learning for Novelty and Anomaly Detection", BMVC 2018☆37Updated 6 years ago
- ☆50Updated 2 years ago