致力于将李航博士《统计学习方法》一书中所有算法实现一遍

Source code for abnormal detection on MIT video surveillance dataset using Nonnegative Matrix Factorization

Abnormal Driving Behavioral Analysis and Detection

Relation Classification via Multi-Level Attention CNNs

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

GAN with Spectral Normalization and Gradient Penalty

Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.

Unsupervised anomaly detection with generative model, keras implementation

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

One class SVM, used as reference for anomaly detection performance.

Anomaly Detection Discriminative GAN (ADD-GAN)

[IEEE T-CSVT 2019] Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition

BNP Paribas Kaggle Data Set Data source: https://www.kaggle.com/c/bnp-paribas-cardif-claims-management Outlier Detection- Ensemble unsupervised learning method - Isolation Forest The isolation algo…

A flexible framework of neural networks for deep learning

Given a video sequence, the algorithm can process frames online to calculate Temporal Occupancy Variation and Entropy metrics, and then detect abnormal events in crowded scenes based on these metrics.

The Realtime Abnormal Event Detection Project

Eric K. Garcia , Maya R.Gupta에 대한 공부 기록 및 리뷰 입니다.

The project is an OpenCV based C++ implementation of the paper 'Abnormal Event Detection at 150FPS in Matlab'

To detect the abnormal/unusual human activities in a video

The project an OpenCV based C++ implementation of the paper 'Abnormal Event Detection at 150FPS in Matlab'

abnormality ICIP16

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Saliency detection using CNN and CRF. Background generation of the detected saliency map using GAN.

Awesome GAN for Medical Imaging