Search Results - "Shao, Xinlei"

Riverbed litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network by Zhao, Fan, Liu, Yongying, Wang, Jiaqi, Chen, Yijia, Xi, Dianhan, Shao, Xinlei, Tabeta, Shigeru, Mizuno, Katsunori

“…Underwater litter is widely spread across aquatic environments such as lakes, rivers, and oceans, significantly impacting natural ecosystems. Current automated…”
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Deep Learning for Multilabel Classification of Coral Reef Conditions in the Indo‐Pacific Using Underwater Photo Transect Method by Shao, Xinlei, Chen, Hongruixuan, Magson, Kirsty, Wang, Jiaqi, Song, Jian, Chen, Jundong, Sasaki, Jun

“…ABSTRACT Because coral reef ecosystems face threats from human activities and climate change, coral reef conservation programmes are implemented worldwide…”
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Deep learning for multi-label classification of coral conditions in the Indo-Pacific via underwater photogrammetry by Shao, Xinlei, Chen, Hongruixuan, Magson, Kirsty, Wang, Jiaqi, Song, Jian, Chen, Jundong, Sasaki, Jun

“…Since coral reef ecosystems face threats from human activities and climate change, coral conservation programs are implemented worldwide. Monitoring coral…”
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Underwater litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network by Zhao, Fan, Liu, Yongying, Wang, Jiaqi, Chen, Yijia, Xi, Dianhan, Shao, Xinlei, Tabeta, Shigeru, Mizuno, Katsunori

“…Marine Pollution Bulletin 209 (2024) 117030 Underwater litter is widely spread across aquatic environments such as lakes, rivers, and oceans, significantly…”
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A Deep Learning Approach Combining Super-Resolution and Segmentation to Identify Weed and Tobacco in UAV Imagery by Zhao, Fan, Huang, Jirui, Liu, Yongying, Wang, Jiaqi, Chen, Yijia, Shao, Xinlei, Ma, Bangzhang, Xi, Dianhan, Zhang, Mowen, Tu, Zhengyue, Wu, Mengya, Wu, Qingyang, Chen, Yulun, He, Yinyin

“…Images of tobacco fields collected by drones suffer from Low-Resolution (LR), while the visual similarity between tobacco and weeds exacerbates the difficulty…”
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YOLOv10 and Mamba-Based Super-Resolution for Smart Rose Growth Monitoring Using UAV Imagery by Zhao, Fan, Ren, Zhiyan, Wang, Jiaqi, Chen, Yijia, Xi, Dianhan, Zhang, Guochen, Ma, Bangzhang, Shao, Xinlei, Liu, Yongying, Zhang, Mowen, Wu, Qingyang, Tu, Zhengyue, Wu, Mengya, He, Yinyin, Chen, Yulun, Zhang, Chenyu

“…To meet market demand and optimize production efficiency, accurately assessing the growth status of fresh-cut flowers is crucial. Due to time and labor…”
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Mamba-Based Super-Resolution and Segmentation Network for UAV-Captured Blueberry Farmland Imagery by Zhao, Fan, Song, Jian, Wang, Jiaqi, Chen, Yijia, Xi, Dianhan, Shao, Xinlei, Liu, Y ongying, Ma, Bangzhang, He, Yinyin, Zhang, Guochen, Wu, Qingyang, Tu, Zhengyue, Wu, Mengya, Chen, Yulun, Guo, Jiaolin, Zhang, Chenyu

“…Traditional methods of inspecting blueberry maturity primarily rely on manual observation, which is inefficient and prone to visual errors. The high similarity…”
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