White blood cell (WBC) detection in microscopic images is indispensable in medical
diagnostics; however, this work, based on manual checking, is time-consuming, labor …

Introduction Accurate grading identification of tea buds is a prerequisite for automated tea-
picking based on machine vision system. However, current target detection algorithms face …

In terms of small objects in traffic scenes, general object detection algorithms have low
detection accuracy, high model complexity, and slow detection speed. To solve the above …

Timely fire alarms are crucial as they can save lives and avoid major economic losses.
However, due to the complexity of the structure, the current mainstream DETR-based fire …

针对传统方式识别交通标志算法存在的检测精度较低的问题, 提出了一种改进 YOLOv5
算法的交通标志识别方法. 首先改进 YOLOv5 算法的损失函数, 使用 EIOU 损失函数代替 …

Precise single tree delineation allows for a more reliable determination of essential
parameters such as tree species, height and vitality. Methods of instance segmentation are …

Significant progress has been achieved in automating the design of various components in
deep networks. However, the automatic design of loss functions for generic tasks with …

Transmission line fault detection using drones provides real-time assessment of the
operational status of transmission equipment, and therefore it has immense importance in …

To accurately detect and track the thyroid nodules in a video is a crucial step in the thyroid
screening for identification of benign and malignant nodules in computer-aided diagnosis …

Accurate wheat spike detection is crucial in wheat field phenotyping for precision farming.
Advances in artificial intelligence have enabled deep learning models to improve the …