Abstract: Breast cancer stands as a predominant health concern for women globally. As mammography is the primary screening tool for breast cancer detection, improving the detection of breast cancer at ...

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: Loop closure detection (LCD) plays a crucial role in simultaneous localization and mapping (SLAM) systems to eliminate accumulated odometry drifts as the map is built, and using multi-modal ...

Daily Stream Follow me! My server Discord! #geometrydash #deluxe12 'Absolutely': Trump says he would denaturalize 100-200 people per month in 2026 if... Video: 77-year-old man killed as stray bull ...

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 ...

Abstract: Due to the scattering and absorption of light, underwater images face challenges such as color cast, low contrast, and blur. Existing deep learning-based underwater image enhancement (UIE) ...

Abstract: Floating-point (FP) multipliers are critical components in high-performance computing systems, particularly in signal processing, graphics, and machine learning applications. However, ...

Current video diffusion models achieve impressive generation quality but struggle in interactive applications due to bidirectional attention dependencies. The generation of a single frame requires the ...

Abstract: Extremely large-scale multiple-input-multiple-output (XL-MIMO), which offers vast spatial degrees of freedom, has emerged as a potentially pivotal enabling technology for the sixth ...