1 code implementation • 24 Aug 2023 • Chenping Fu, Xin Fan, Jiewen Xiao, Wanqi Yuan, Risheng Liu, Zhongxuan Luo
Therefore, we propose a residual feature transference module (RFTM) to learn a mapping between deep representations of the heavily degraded patches of DFUI- and underwater- images, and make the mapping as a heavily degraded prior (HDP) for underwater detection.
no code implementations • 7 Jul 2023 • Chenping Fu, Wanqi Yuan, Jiewen Xiao, Risheng Liu, Xin Fan
Based on these factual opinions, we propose a bilevel optimization formulation for jointly learning underwater object detection and image enhancement, and then unroll to a dual perception network (DPNet) for the two tasks.
1 code implementation • 28 Jun 2022 • Jiewen Xiao, Wenbin Liao, Ming Zhang, Jing Wang, Jianxin Wang, Yihua Yang
Molecular and morphological characters, as important parts of biological taxonomy, are contradictory but need to be integrated.
no code implementations • 27 Jun 2022 • Wenbin Liao, Jiewen Xiao, Chengbo Zhao, Yonggong Han, ZhiJie Geng, Jianxin Wang, Yihua Yang
In this paper, we propose a new model based on attention-mechanism, MushroomNet, which applies the lightweight network MobileNetV3 as the backbone model, combined with the attention structure proposed by us, and has achieved excellent performance in the mushroom recognition task.