Neslužbene stranice predmeta Modeli za predstavljanje slike i videa
O predmetu:
Predmet razmatra područja računalnog vida
koja proučavaju napredne reprezentacije slike i videa.
Službene stranice su ovdje.
Predavanja
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0. Slikovne reprezentacije u računalnom vidu
(pdf)
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1: Primjene konvolucijskih modela u računalnom vidu
(pdf,
mkv,
mp4)
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2. Učenje sličnosti
(pdf)
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3. Elementi algoritama za razumijevanje scena
(pdf)
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4. Generativni modeli u računalnom vidu
(pdf)
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5: Generativni suparnički modeli
(pdf)
Preporučena literatura
-
Ian Goodfellow, Yoshua Bengio and Aaron Courville.
Deep Learning.
MIT Press
(html)
-
Michael Nielsen.
Neural Networks and Deep Learning.
Determination press.
(html)
Pomoćna literatura
-
Zoran Kalafatić, Antonio Pošćić, Siniša Šegvić i Julijan Šribar.
Python za znatiželjne.
Element
(html)
Za one koji žele naučiti malo više
-
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman.
Deep Inside Convolutional Networks.
ArXiv 2014.
pdf.
-
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus.
Intriguing properties of neural networks.
ArXiv 2014.
pdf.
-
Matthew D. Zeiler, Rob Fergus.
Visualizing and Understanding
Convolutional Networks. ECCV 2014.
pdf.
-
K. Simonyan, A. Zisserman.
Very Deep Convolutional Networks for Large-Scale Image Recognition.
ICLR 2015.
pdf.
-
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun.
Deep Residual Learning for Image Recognition.
CVPR 2016.
pdf.
-
Gao Huang, Zhuang Liu, Kilian Q. Weinberger, Laurens van der Maaten.
Densely Connected Convolutional Networks.
CVPR 2017.
pdf.
-
Jonathan Long, Evan Shelhamer, Trevor Darrell.
Fully Convolutional Networks for Semantic Segmentation.
CVPR 2015.
pdf.
-
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C. Berg.
SSD: Single Shot MultiBox Detector
ECCV 2016.
pdf.
-
Tesla autonomy day.
Peter Bannon, Andrei Karpathy, Elon Musk.
April 22, 2019.
youtube.
