288 citations · 351 across the 18 of their papers we have counts for
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cs.CV2023
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking
Zhizheng Liu, Mattia Segu, Fisher Yu
Continual learning allows a model to learn multiple tasks sequentially while retaining the old knowledge without the training data of the preceding tasks. This paper extends the sc…
cs.CV2023
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
Mattia Segu, Bernt Schiele, Fisher Yu
Multiple object tracking (MOT) is a fundamental component of perception systems for autonomous driving, and its robustness to unseen conditions is a requirement to avoid life-criti…