OneTrack-M: A multitask approach to transformer-based MOT models

arXiv:2502.04478 · cs.CV, cs.LG · Submitted 2025-02-06 · Read on arXiv

cs.CV, cs.LG

Submitted: 2025-02-06

Updated: 2025-02-06

Comments: 13 pages, 11 figures

DOI: 10.5753/jbcs.2026.4636

Code: https://github.com/JonathonLuiten/TrackEval

Project page: https://motchallenge.net/data/MOT17

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Transformer — 79× in this paper · explained in 2 episodes
Accuracy — 18× in this paper · explained in 1 episode
Multi-Object Tracking — 16× in this paper
Loss Function — 11× in this paper · explained in 2 episodes
Benchmark — 6× in this paper · explained in 2 episodes
Convolutional Neural Networks (CNNs) — 3× in this paper · explained in 2 episodes
Embeddings — 3× in this paper · explained in 2 episodes
Generalization — 3× in this paper · explained in 13 episodes
Optical Flow — 3× in this paper · explained in 2 episodes
Consistency — 2× in this paper · explained in 3 episodes
Non-Maximum Suppression — 2× in this paper
Robustness — 2× in this paper · explained in 5 episodes
Transformer Architecture — 2× in this paper · explained in 2 episodes
Transformer Models — 2× in this paper · explained in 2 episodes
Abstraction — 1× in this paper · explained in 1 episode
Activation Function — 1× in this paper · explained in 1 episode
Adaptation — 1× in this paper · explained in 1 episode
Core — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Higher Order Tracking Accuracy — 1× in this paper
Hybrid Approach — 1× in this paper · explained in 4 episodes
International Conference on Image Processing — 1× in this paper
Multiple Object Tracking Accuracy — 1× in this paper
Multiple Object Tracking Precision — 1× in this paper
Redundancy — 1× in this paper · explained in 2 episodes

OneTrack-M: A multitask approach to transformer-based MOT models

Terminology

Sources

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