Physical Anomalous Trajectory or Motion (PHANTOM) Dataset

Last update: Dec 16, 2021

Overview

Physical Anomalous Trajectory or Motion (PHANTOM) Dataset

Description

This dataset contains the six different classes as described in our paper[]. These classes are designed to be used to detect anomalies in physical videos and are meant to be used as a benchmark to assess a method's performance on physical videos. The train set contains normal videos, the test set contains both normal and anomalous videos.

In addition, we provide a script to obtain the test and train video id's of the Something-Something V2 dataset. This too is meant to serve as even more difficult benchmark for general video anomaly detection. Our approach is decribed in the paper.

Citation

Owner

GitHub Repository

SMIS - Semantically Multi-modal Image Synthesis(CVPR 2020)

Semantically Multi-modal Image Synthesis Project page / Paper / Demo Semantically Multi-modal Image Synthesis(CVPR2020). Zhen Zhu, Zhiliang Xu, Anshen

316 Dec 01, 2022

Reinforcement Learning for the Blackjack

Reinforcement Learning for Blackjack Author: ZHA Mengyue Math Department of HKUST Problem Statement We study playing Blackjack by reinforcement learni

3 Jan 24, 2022

This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

CG3 This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning]. R

12 Oct 28, 2022

Physical Anomalous Trajectory or Motion (PHANTOM) Dataset

Related tags

Overview

Physical Anomalous Trajectory or Motion (PHANTOM) Dataset

Description

Citation

Owner

SMIS - Semantically Multi-modal Image Synthesis(CVPR 2020)

Reinforcement Learning for the Blackjack

This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(2021) paper

JittorVis - Visual understanding of deep learning models

TensorFlow Tutorials with YouTube Videos

[CVPR2021] Invertible Image Signal Processing

RANZCR-CLiP 7th Place Solution

Constrained Logistic Regression - How to apply specific constraints to logistic regression's coefficients

Powerful unsupervised domain adaptation method for dense retrieval.

Convolutional Neural Network for 3D meshes in PyTorch

Image segmentation with private İstanbul Dataset

This repository compare a selfie with images from identity documents and response if the selfie match.

PySLM Python Library for Selective Laser Melting and Additive Manufacturing

Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph

Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

A simple log parser and summariser for IIS web server logs

Fast Scattering Transform with CuPy/PyTorch

efficient neural audio synthesis in the waveform domain