IEEE

3DEKD: 3D Explanation-Based Knowledge Distillation for Pillar-Based 3D Object Detection

Abstract: LiDAR-based 3D object detection has been widely utilized in fields such as autonomous driving and robotics. However, the black-box nature of 3D models limits their interpretability, making ...
IEEE

FPGA Implementation of High-Speed Accelerators for CNN Architecture Using 3D Systolic Array Architecture

Abstract: Convolution Neural Networks (CNNs) are pivotal in image processing. Prominent CNN models include SqueezeNet, MobileNet, Xception, VGG-16, and AlexNet. These models transform 2D data to 1D, ...