5 citations · 8 across the 3 of their papers we have counts for
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cs.CV2023★ 3 cited
SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection
Yan Gong, Xinyu Zhang, Hao Liu +7
Multi-modal fusion is increasingly being used for autonomous driving tasks, as different modalities provide unique information for feature extraction. However, the existing two-str…
cs.CV2023★ 5 cited
PE-YOLO: Pyramid Enhancement Network for Dark Object Detection
Xiangchen Yin, Zhenda Yu, Zetao Fei +2
Current object detection models have achieved good results on many benchmark datasets, detecting objects in dark conditions remains a large challenge. To address this issue, we pro…
cs.CV2023
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Xinyu Zhang, Zhiwei Li, Zhenhong Zou +5
Noise has always been nonnegligible trouble in object detection by creating confusion in model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurat…