A household robot usually works in a complex working environment, where it will
continuously see new objects and encounter new concepts in its lifetime. Therefore, being …

Over the last decade, deep learning has exploded for many applications, ranging from huge
advancements in computer vision and natural language processing to biological …

Software defect classification must be automated in order to ensure software dependability,
as the use of automatic software-based applications grows. This chapter suggests an …

Vision-based object detection is constantly seeking a solution of higher accuracy and faster
speed. Loss function of object detection algorithm directly influences a lot on …

Instrumented vehicles can produce huge volumes of video data per vehicle per day that
must be analysed automatically, often in real time. This analysis should include identifying …

For public seas security and public protection, ship detection and identification are essential.
It is true that a few SAR (Synthetic Aperture Radar) picture-based ship detection systems …

Abstract Intelligent Transport System should be renovated in many aspects in post-
pandemic situation like COVID-19. The passenger-count inside a car will be restricted based …

Deep learning, especially through Convolutional Neural Networks (CNNs), has
revolutionized image analysis. Image classification, which involves assigning labels to …

Resources such as OpenML and HuggingFace have made large datasets and powerful
pretrained models more accessible than ever for deep learning practitioners and …

With the exponential growth of web image data, image tagging is becoming crucial in many
image based applications such as object recognition and content-based image retrieval …