The rapid development of unmanned aerial vehicle (UAV) technology has contributed to the
increasing sophistication of UAV-based object-detection systems, which are now extensively …

Aerial image target detection is essential for urban planning, traffic monitoring, and disaster
assessment. However, existing detection algorithms struggle with small target recognition …

Quickly and accurately assessing the damage level of buildings is a challenging task for
post-disaster emergency response. Most of the existing research mainly adopts semantic …

Tomatoes, widely cherished for their high nutritional value, necessitate precise ripeness
identification and selective harvesting of mature fruits to significantly enhance the efficiency …

Autonomous vehicles operating in public transportation spaces must rapidly and accurately
detect all potential hazards in their surroundings to execute appropriate actions such as …

Automated segmentation of liver tumors on CT scans is essential for aiding diagnosis and
assessing treatment. Computer-aided diagnosis can reduce the costs and errors associated …

Object detection technology holds significant promise in unmanned aerial vehicle (UAV)
applications. However, traditional methods face challenges in detecting denser, smaller, and …

Grapefruit and stem detection play a crucial role in automated grape harvesting. However,
the dense arrangement of fruits in vineyards and the similarity in color between grape stems …

A new algorithm called YOLO-APDM is proposed to address low quality and multi-scale
target detection issues in infrared road scenes. The method reconstructs the neck section of …

The segmentation accuracy of the lung images is affected by the occlusion of the front
background objects. To address this problem, we propose a full-scale lung image …