Pregled bibliografske jedinice broj: 1236816
Natural image understanding: principles, challenges and research outlook
Natural image understanding: principles, challenges and research outlook // AI2Future 2018
Zagreb, Hrvatska, 2018. (pozvano predavanje, nije recenziran, pp prezentacija, stručni)
CROSBI ID: 1236816 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Natural image understanding: principles, challenges and research outlook
Autori
Siniša Šegvić
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, pp prezentacija, stručni
Skup
AI2Future 2018
Mjesto i datum
Zagreb, Hrvatska, 11-12.10.2018
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
computer vision
Sažetak
Development of supervised convolutional models has resulted in tremendous advances of visual recognition. Today we are able to design systems which classify images, detect faces and recognize people at a near human level. However, challenges such as cross-dataset generalization or adversarial examples indicate that further work is required to reach truly intelligent artificial vision. In this talk I will present current state of visual recognition: operational principles, current performance, main challenges, as well as research directions which promise to push the limits even further.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-1395 - Detekcija objekata više razreda za pametna vozila i sigurnije ceste (MULTICLOD) (Šegvić, Siniša, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Siniša Šegvić
(autor)