Recent years have seen deep learning algorithms such as Convolutional Neural Networks
(CNNs) and their variants achieving competitive performance in the application of medical …

Semantic segmentation finds wide-ranging applications and stands as a crucial task in the
realm of computer vision. It holds significant implications for scene comprehension and …

The swift and precise detection of vehicles plays a significant role in intelligent transportation
systems. Current vehicle detection algorithms encounter challenges of high computational …

Due to the fact that the green features of papaya skin are the same colour as the leaves, the
dense growth of fruits causes serious overlapping occlusion phenomenon between them …

Abstract The Chinese mitten crab (Eriocheir sinensis) is a unique aquaculture species in
China. The accurate detection of crab targets and gender classification is crucial in guiding …

You Only Look Once (YOLO) is a single-stage object detection model popular for real-time
object detection, accuracy, and speed. This paper investigates the YOLOv5 model to identify …

The YOLO series of algorithms have made substantial contributions to the detection of
insulator defects in power transmission line operations. However, existing target detection …

Existing IoU-based loss functions have achieved promising performance for bounding box
regression in object detection. However, they cannot fully reflect the relation between the …

Reliable localization of lymph nodes (LNs) in multi-parametric MRI (mpMRI) studies plays a
major role in the assessment of lymphadenopathy and staging of metastatic disease …

Recently, optical object detection has made significant advancements in the field of remote
sensing. However, small-scale object detection is still a major challenge in optical remote …