multi-object-tracking-segmentation

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

[ECCV'22 Oral] Towards Grand Unification of Object Tracking

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

[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).

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Baselines and setup instructions for the MOTSynth dataset (ICCV 2021)

Towards High Quality Multi-Object Tracking and Segmentation without Mask Supervision [TIP 2024]

ECCV 2022 Workshop: Multiple Object Tracking and Segmentation in Complex Environments

Resources for Multi-Object Tracking and Segmentation (MOTS)

Delving in Multi Object Tracking using Mask R-CNN with a Siamese Network

Deep Learning