Search Results for author: Jiewen Xiao

Found 4 papers, 2 papers with code

Learning Heavily-Degraded Prior for Underwater Object Detection

1 code implementation24 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.

Object object-detection +1

Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios

no code implementations7 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.

Bilevel Optimization Image Enhancement +4

Taxonomy and evolution predicting using deep learning in images

1 code implementation28 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.

Fine-Grained Image Recognition Zero-Shot Learning

Mushroom image recognition and distance generation based on attention-mechanism model and genetic information

no code implementations27 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.

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