Abstract: Weakly supervised point cloud semantic segmentation methods that require 1% or fewer labels with the aim of realizing almost the same performance as fully supervised approaches have recently ...

Abstract: This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and ...

Abstract: Image processing has become one of the popular neuromorphic computing applications in recent years. Most of the application areas require an efficient and real time image processing system.

Abstract: Image and point cloud registration (2D-3D registration) is an essential prerequisite for multi-modal feature fusion. However, due to the significant feature difference of point cloud and ...

Abstract: AI-powered image analysis is a transformative technology with immense potential to enhance diagnostics and patient care. Accurate medical image assessment plays a crucial role in disease ...

Greetings everyone! Today I am going to show you the 3 famous Qwen Image Edit LoRAs that you have been hearing so much about. In this tutorial, we dive deep into how to install, configure, and use ...

Abstract: The optical image and laser point clouds have good complementary advantages, but it is difficult to directly obtain a reliable correlation between the two types of heterogeneous feature ...