316 citations · 332 across the 4 of their papers we have counts for
4 papers · 1 filter
Is Underwater Image Enhancement All Object Detectors Need?
Yudong Wang, Jichang Guo, Wanru He +4
Underwater object detection is a crucial and challenging problem in marine engineering and aquatic robot. The difficulty is partly because of the degradation of underwater images c…
AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
Jingchun Zhou, Zongxin He, Kin-Man Lam +4
In this paper, we present a novel Amplitude-Modulated Stochastic Perturbation and Vortex Convolutional Network, AMSP-UOD, designed for underwater object detection. AMSP-UOD specifi…
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
Chengqi Lyu, Wenwei Zhang, Haian Huang +5
In this paper, we aim to design an efficient real-time object detector that exceeds the YOLO series and is easily extensible for many object recognition tasks such as instance segm…
UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space
Yudong Wang, Jichang Guo, Huan Gao +1
Underwater image enhancement has attracted much attention due to the rise of marine resource development in recent years. Benefit from the powerful representation capabilities of C…