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ugtr

unsupervised_embedding_learning

Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

uovos

Unsupervised Online Video Object Segmentation with Motion Property Understanding

upformer

ustring

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning (ACM MM 2020)

utfpr-hsd

Fully-labeled video dataset for anomaly detection

vad_gan

Robust Anomaly Detection in Videos using Multilevel Representations

vae-anomaly-detector

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.

vec_vad

Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. Oral paper in ACM Multimedia 2020.

video_backbone

Common video feature extractors, implemented in pytorch

weakly-un-self-supervised-papers-collections

Weakly supervised / Unsupervised /Self supervised Paper collections

wetas

Weakly Supervised Temporal Anomaly Segmentation

woad-pytorch

This is the pytorch implementation of WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos (CVPR2021).

wsal

Official codes for paper: Localizing Anomalies from Weakly-Labeled Videos

xel-wsad

office implement code for our paper:Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos