Pengwei Ma
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View article: CNATNet: a convolution-attention hybrid network for safflower classification
CNATNet: a convolution-attention hybrid network for safflower classification Open
Safflower (Carthamus tinctorius L.) is an important medicinal and economic crop, where efficient and accurate filament grading is essential for quality control in agricultural and pharmaceutical applications. However, current methods rely …
View article: Feature Fusion Network with Local Information Exchange for Underwater Object Detection
Feature Fusion Network with Local Information Exchange for Underwater Object Detection Open
When using enhanced images for underwater object detection, issues such as detail loss and increased noise often arise, leading to decreased detection efficiency. To address this issue, we propose the Feature Fusion Network with Local Info…
View article: YOLOFLY: A Consumer-Centric Framework for Efficient Object Detection in UAV Imagery
YOLOFLY: A Consumer-Centric Framework for Efficient Object Detection in UAV Imagery Open
As an emerging edge device aimed at consumers, Unmanned Aerial Vehicles (UAVs) have attracted significant attention in the consumer electronics market, particularly for intelligent imaging applications. However, aerial image detection task…