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Cross Scene Hyperspectral Image Classification Combined with Fusional Spatial-Spectral Attention
One of the main challenges in hyperspectral image classification is the small amount of labeled data and the spectral shift problem between the source and target domains in cross scene hyperspectral image classification, which leads to low ...
Comparative Study for Monocular Depth Detection Models on Embedded Systems
Monocular depth detection plays a pivotal role in numerous computer vision applications, particularly on edge devices such as the NVIDIA Jetson Nano, which pose unique constraints in terms of computational resources. This paper presents a t...
A New Approach for Early Detection of Vulnerabilities Across the Automotive Software Development
This paper presents a new approach of evaluating automotive development processes, starting from the early stages of development to the final product. The main objective of this paper is to ensure transparency among stakeholders and provide...
Table of Content
Preface
Copyright Page
Cover Page