g-morgen Goto Github PK

2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

3c-net

Weakly-supervised Action Localization

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

a2cl-pt

Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)

abnormal_action_detection

abnormal_event_detection

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

acm-net

The official repository of our paper "ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization".

action_biye

Action Recognition with Cross-correlation fusion network and Discriminative Filter Network

actiondetection-afsd

Code for CVPR2021 paper "Learning Salient Boundary Feature for Anchor-free Temporal Action Localization"

adabound

An optimizer that trains as fast as Adam and as good as SGD.

aed

aet

The project website for "Auto-Encoding Transformations."

ai-city-anomaly-detection

My implementation of the vehicle anomaly detection from https://github.com/ShuaiBai623/AI-City-Anomaly-Detection

alae

[CVPR2020] Adversarial Latent Autoencoders

alocc-cvpr2018

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

ammcnet_aaai2021

Appearance-Motion Memory Consistency Network for Video Anomaly Detection

ancnet

Correspondence Networks with Adaptive Neighbourhood Consensus

and

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

ano-graph

anomaly-detection

Anomaly detection from surveillence videos using Deep Multiple Instance Learning

anomaly-detection-in-surveillance-videos

Real-World Anomaly Detection in Surveillance Videos

anomaly-detection-in-traffic-videos-using-opencv--python

This system will identify the violation in traffic rules at traffic junctions using the cctv footage obtained at different traffic junctions using multilevel hdp and guassian process with active learning

anomaly-detection-patchsvdd-pytorch

anomaly-event-detection

Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.

anomaly-seg

The Combined Anomalous Object Segmentation (CAOS) Benchmark

anomaly_ar_net_icme_2020

This repository is for Weakly Supervised Video Anomaly Detection via Center-Guided Discriminative Learning(ICME 2020). The original paper can be found (https://ieeexplore.ieee.org/document/9102722)

anomaly_detection_iccv2019

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence

anomalydetection

Real-time anomaly detection system for highway traffic data

anomalydetection_cvpr18

Implementation of Real-World Anomaly Detection CVPR_2018 paper

anomalydetectioncvpr2018-pytorch

Pytorch version of - https://github.com/WaqasSultani/AnomalyDetectionCVPR2018