supported by the Sichuan Province Science and Technology Support Program(Grant No.2021YFQ0054);the Open Project Fund of Intelligent Terminal Key Laboratory of Sichuan Province(2020–2021)(Grant No.SCITLAB-0012)。
This paper focuses on the problems of point cloud deep neural networks in classification and segmentation tasks,including losing important information during down-sampling,ignoring relationships among points when extr...
Recently, semantic segmentation has been widely applied toimage processing, scene understanding, and many others. Especially, indeep learning-based semantic segmentation, the U-Net with convolutionalencoder-decoder ar...
As a huge number of satellites revolve around the earth,a great probability exists to observe and determine the change phenomena on the earth through the analysis of satellite images on a real-time basis.Therefore,cla...
In view of the limited bandwidth of underwater video image transmission,a low bit rate underwater video compression coding method is proposed.Based on the preprocessing process of wavelet transform and coefficient dow...
Poor visibility in bad weather, such as haze and fog, is a major problem for many applications of computer vision. Thus, haze removal is highly required for receiving high performance of the vision algorithm. In this ...
A new scheme combining a scalable transcoder with space time block codes (STBC) for an orthogonal frequency division multiplexing (OFDM) system is proposed for robust video transmission in dispersive fading channe...