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2019-tifs-anomalynet

AnomalyNet: An Anomaly Detection Network for Video Surveillance, IEEE Trans Information Forensics and Security 2019

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

anomaly-detection

Detect Anomaly in UCSD dataset with CNN Autoencoders and 2-layered LSTMs

anomaly-detection-using-deep-belief-networks

Abnormality detection on UCSD pedestrian dataset using Deep-belief networks.

anomalyeventdetection

Unsupervised deep learning system for local anomaly event detection in crowded scenes

awesome-video-anomaly-detection

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

drnet

few-shot-scene-adaptive-anomaly-detection

flowgrounded-videoprediction

The source code of ECCV18 'Flow-Grounded Spatial-Temporal Video Prediction from Still Images'.

fsl-video

[BMVC 2021] A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark

gaal-based-outlier-detection

GAAL-based Outlier Detection

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

gaussian-side-window-filtering-pytorch

An re-implementation of CVPR2019 paper "Side Window Filtering" using gaussian kernel.

gepc

Graph Embedded Pose Clustering for Anomaly Detection

git-demo

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

kmsauto-net-2015-v1.3.8-portable

KMS-pico I use

leetcode

😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

liteflownet

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

mnad

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

mpn

Official codes of CVPR21 paper: Learning Normal Dynamics in Videos with Meta Prototype Network

ognet

Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'

opencv-python-hacks

Optical flow and other tricks in OpenCV

optical-flow-tracking----opencv

This is a small program demonstrating object tracking in a video stream. Lucas Kanade optical flow algorithm is used to find the pixels from one frame to another.

pix2pix

Image-to-image translation with conditional adversarial nets

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-resnet3d

I3D Nonlocal ResNets in Pytorch

pytorch_ano_pre

Pytorch Re-implement of ano_pre_cvpr2018, flownet2 / lite-flownet used.

residual-attention-network-for-image-classification-2d-3d-pytorch-implement

2D and 3D(volume) verison of Residual Attention Network