Highlights
- Pro
Stars
Simple Online Realtime Tracking with a Deep Association Metric
Implementation for Learning to Track with Object Permanence
Real time one-stage multi-class & multi-object tracking based on anchor-free detection and ReID
Driver Attention Prediction in Accidental Scenarios
Official implementation of "Harnessing Large Language Models for Training-free Video Anomaly Detection", CVPR 2024
[CVPR2024 Highlight] The official repo for paper "Abductive Ego-View Accident Video Understanding for Safe Driving Perception"
Implementation of CVPR'19 paper (oral) - ContextDesc: Local Descriptor Augmentation with Cross-Modality Context
pySLAM is a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local and global features, different loop-closing methods, a volumetric reconstruction pip…
Code of the Unsupervised Traffic Accident Detection paper in Pytorch.
Normalizing Flows for Human Pose Anomaly Detection [ICCV 2023]
This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.
Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection
Official implementation of "Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection"
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
[CVPR 2024] Official repository of the paper "Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly"
[PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
[NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.
Anomaly Detection via Reverse Distillation from One-Class Embedding
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc