[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
An elegant \LaTeX\ résumé template
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
Game TankWar implemented in Java
Code for downloading and using the TAO dataset: http://taodataset.org/
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
This is an official implementation for "Video Swin Transformers".