buiduchanh / Learning-Deep-Features-for-One-Class-Classification
#Deep One class #Anomaly Detection
☆49Updated 5 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
- Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection…☆193Updated 6 years ago
- ☆62Updated 5 years ago
- Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations☆23Updated 5 years ago
- Keras implementation of Adversarially Learned One-Class Classifier or ALOCC for short.☆34Updated 3 years ago
- This is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".☆53Updated 6 years ago
- Implementation of "Metric Learning for Novelty and Anomaly Detection", BMVC 2018☆37Updated 5 years ago
- [5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow…☆129Updated 5 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)☆224Updated 4 years ago
- Anomaly detection on X-Ray MURA dataset using GAN.☆50Updated 6 years ago
- PFNet: A Novel Part Fusion Network for Fine-grained Visual Categorization☆28Updated 6 years ago
- Deep One-Class Classification using Intra-Class Splitting☆14Updated 5 years ago
- ☆100Updated 4 years ago
- Feature Map Inversion to visualize what feature a filter extract from input image in CNNs☆30Updated 8 years ago
- PyTorch implementation of RICAP (Random Image Cropping And Patching)☆39Updated 6 years ago
- Focal Loss implementation by Keras with TensorFlow backend☆42Updated 7 years ago
- tf.keras implementations of deep texture recognition & fine-grained image classification models☆29Updated 5 years ago
- Fence GAN: Towards Better Anomaly Detection☆39Updated 4 years ago
- use tensorflow slim to realize Class Activation Map in Googlenet☆45Updated 7 years ago
- ☆73Updated 7 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
- anomaly detection with GAN☆95Updated 7 years ago
- Visualizing where the Convolution Network is looking through CAM.☆19Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- ☆23Updated 5 years ago
- Multi-Label Multi-Class Fine-Grain Image-Classification using Keras for iMaterialist_challenge_FGVC5 at CVPR18☆14Updated 6 years ago
- semantic segmentation with focal loss☆47Updated 7 years ago
- VPE logos☆54Updated last year
- 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