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Wenxiu Shi

1 accepted papers

2025

AutoSelecter: Efficient Synthetic Nighttime Images Make Object Detector Stronger

RA-L 2025

Object detection has achieved significant advancements despite the challenges posed by adverse conditions like low-light nighttime environments, where annotated data is not only scarce but also challenging to accurately label. Instead of designing special network, we focus on the creation and effici

Cited by 0SourceScholar