MFEFNET: A MULTI-SCALE FEATURE INFORMATION EXTRACTION AND FUSION NETWORK FOR MULTI-SCALE OBJECT DETECTION IN UAV AERIAL IMAGES

MFEFNet: A Multi-Scale Feature Information Extraction and Fusion Network for Multi-Scale Object Detection in UAV Aerial Images

Unmanned aerial vehicles (UAVs) are now widely used in many fields.Due to the randomness of UAV flight height and shooting angle, UAV images usually have the following characteristics: many small objects, large changes in object scale, and complex background.Therefore, object detection in UAV aerial images is a very challenging task.To address the

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Abnormal functional connectivity of the posterior cingulate cortex is associated with depressive symptoms in patients with Alzheimer’s disease

Jiangtao Zhang,1,2 Zhongwei Guo,2 Xiaozheng Liu,3 Xize Jia,4 Jiapeng Li,2 Yaoyao Li,1,5 Danmei Lv,1,5 Wei Chen1,5 1Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang, China; 2Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang

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