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Haojie Wang, Pingqing Fan, Xipei Ma and Yansong Wang
The intelligent identification of coal gangue on industrial conveyor belts is a crucial technology for the precise sorting of coal gangue. To address the issues in coal gangue detection algorithms, such as high false negative rates, complex network struc...
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Zhao Xiong and Jiang Wu
Malaria is one of the major global health threats. Microscopic examination has been designated as the ?gold standard? for malaria detection by the World Health Organization. However, it heavily relies on the experience of doctors, resulting in long diagn...
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Sicong Liu, Qingcheng Fan, Chunjiang Zhao and Shuqin Li
Animal resources are significant to human survival and development and the ecosystem balance. Automated multi-animal object detection is critical in animal research and conservation and ecosystem monitoring. The objective is to design a model that mitiga...
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Huoxiang Yang, Yongsheng Liang, Wei Liu and Fanyang Meng
Due to the effective guidance of prior information, feature map-based pruning methods have emerged as promising techniques for model compression. In the previous works, the undifferentiated treatment of all information on feature maps amplifies the negat...
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Jianlei Kong, Yang Xiao, Xuebo Jin, Yuanyuan Cai, Chao Ding and Yuting Bai
In the realm of smart agriculture technology?s rapid advancement, the integration of various sensors and Internet of Things (IoT) devices has become prevalent in the agricultural sector. Within this context, the precise identification of pests and diseas...
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Yu Wang, Hongyi Bai, Laijun Sun, Yan Tang, Yonglong Huo and Rui Min
Due to their rich nutritional value, kidney beans are considered one of the major products of international agricultural trade. The conventional method used for the manual detection of seeds is inefficient and may damage the test object. To locate and cl...
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Yanhua Shao, Xingping Zhang, Hongyu Chu, Xiaoqiang Zhang, Duo Zhang and Yunbo Rao
Aerial object detection acts a pivotal role in searching and tracking applications. However, the large model, limited memory, and computing power of embedded devices restrict aerial pedestrian detection algorithms? deployment on the UAV (unmanned aerial ...
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