Naslov
Elements of Learning Algorithms for Natural Scene Understanding

Autori
Šegvić, Siniša

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Proceedings of the Croatian Computer Vision Workshop (CCVW) / - , 2021, 1-1

Skup
Croatian Computer Vision Workshop (CCVW)

Mjesto i datum
Zagreb, Hrvatska, 20.10.2021

Vrsta sudjelovanja
Pozvano predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
Deep learning, dense prediction

Sažetak
Deep learning has led to unprecedented improvement of computer vision, natural language processing and other fields of artificial intelligence. However, our models still underperform on unusual and adversarial test examples, while offering limited interpretability and explainability. Nevertheless, experienced practitioners seldom regard their models as black boxes. Instead, they promote desired behaviour through suitable kinds of inductive bias and careful exploitation of available data. I will illustrate these concepts by describing elements of learning algorithms which have been extensively exploited within my research group in the past few years. The second part of my talk will describe our ongoing collaborations with the local industry. I will point out advantages of such arrangements for all involved parties. The talk will conclude with a brief overview of current challenges and opportunities in our field.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA