Remote sensing object detection is an essential task for surveying the earth. It is challenging
for the target detection algorithm in natural scenes to obtain satisfactory detection results in …

Cleaning is a fundamental routine task in human life that is now handed over to leading-
edge technologies such as robotics and artificial intelligence. Various floor-cleaning robots …

Feature extraction in remote sensing is a challenging yet crucial operation for scene
classification because of cloud cover and overlapping edges present in the data. Many …

With the development of deep convolutional neural networks, the effect of pedestrian
detection has been rapidly improved. However, there are still many problems in small target …

Optical remotely sensed time series data have various key applications in Earth surface
dynamics. However, cloud cover significantly hampers data analysis and interpretation …

Very high resolution (VHR) remote sensing (RS) image classification is paramount for
detailed Earth's surface analysis. Feature extraction from VHR natural scenes is crucial, but …

Landslide inventory is significant for landslide disaster reduction. To construct the landslide
inventory, deep learning has received growing attention to detect landslides from satellite …

Peripheral blood cell detection is an essential component of medical practice and is used to
diagnose and treat diseases, as well as to monitor the progress of therapies. Our objective is …

佩戴好口罩是居民预防新冠和配合国家疫情防控的有效方式. 针对口罩佩戴是否正确,
拍摄角度不同以及被遮挡等问题, 提出了一种改进的YOLOv7 算法. 该算法以YOLOv7 为基础 …

In recent years, with the gradual increase of neural network Params (the aggregate of
trainable elements in a model, including weights, biases, and other adjustable elements) …