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Jinling Gao

2 accepted papers

2024

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection

AAAI 2024technical

In this paper, we focus on a realistic yet challenging task, Single Domain Generalization Object Detection (S-DGOD), where only one source domain's data can be used for training object detectors, but have to generalize multiple distinct target domains. In S-DGOD, both high-capacity fitting and gener…

2024

PNAS-MOT: Multi-Modal Object Tracking With Pareto Neural Architecture Search

RA-L 2024

Multiple object tracking is a critical task in autonomous driving. Existing works primarily focus on the heuristic design of neural networks to obtain high accuracy. As tracking accuracy improves, however, neural networks become increasingly complex, posing challenges for their practical application

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