Deep Learning to See: Towards New Foundations of Computer Vision

Deep Learning to See: Towards New Foundations of Computer Vision (SpringerBriefs in Computer Science) 1st ed. 2022 Edition
Author: Alessandro Betti (Author), Marco Gori (Author), Stefano Melacci (Author)
Publisher ‏ : ‎ Springer; 1st ed. 2022 edition (April 27, 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 119 pages
ISBN-10 ‏ : ‎ 3030909867
ISBN-13 ‏ : ‎ 9783030909864

Book Description
The remarkable progress in computer vision over the last few years is, Author: and large, attributed to deep learning, fueled Author: the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature.

This work poses fundamental questions about vision that remain far from understood, leading the reader on a journey populated Author: novel challenges resonating with the foundations of machine learning. The central thesis proposed is that for a deeper understanding of visual computational processes, it is necessary to look beyond the applications of general purpose machine learning algorithms, and focus instead on appropriate learning theories that take into account the spatiotemporal nature of the visual signal.

Serving to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions. As such, it will be of great benefit to graduate and advanced undergraduate students in computer science, computational neuroscience, physics, and other related disciplines.

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