BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
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Updated
Jan 6, 2025 - Python
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
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