Learning to Track from Privileged Target Appearances

arXiv:2609.02471 · cs.CV · Submitted 2026-09-02 · Read on arXiv

cs.CV

Submitted: 2026-09-02

Updated: 2026-09-25

Comments: 13 pages, 2 figures

Code: https://github.com/Multimedia-Analytics-Laboratory/PATT

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

Terminology

AUC — 23× in this paper · explained in 2 episodes
Benchmark — 21× in this paper · explained in 2 episodes
Transformer — 10× in this paper · explained in 2 episodes
Distillation — 4× in this paper · explained in 2 episodes
Ablation — 3× in this paper · explained in 1 episode
Accuracy — 3× in this paper · explained in 1 episode
Consistency — 3× in this paper · explained in 3 episodes
Adaptation — 2× in this paper · explained in 1 episode
Generalization — 2× in this paper · explained in 13 episodes
Privileged Appearance Transfer for Tracking — 2× in this paper
Ablation Studies — 1× in this paper · explained in 1 episode
Ablation study — 1× in this paper · explained in 1 episode
Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Hallucination — 1× in this paper · explained in 3 episodes
Information Gain — 1× in this paper · explained in 2 episodes
Knowledge Distillation — 1× in this paper · explained in 11 episodes
Optical Flow — 1× in this paper · explained in 2 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Self-Supervised Learning — 1× in this paper · explained in 7 episodes

Sources

Related papers