MLT __init__ Session #2: DeepLab — Semantic Image Segmentation

📌 MLT __init__ Paper Reading & Discussion Session #2 – DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
https://arxiv.org/abs/1606.00915

📌 SPEAKER BIO
J. Miguel Valverde is a Ph.D. student at the University of Eastern Finland working on Rodent MRI Segmentation with Deep Learning. He has multiple research experience across Europe and Japan. In his free time, he enjoys nature, learning languages, programming, and making food.
https://twitter.com/jmlipman

About:
MLT __init__ is a monthly event led by Jayson and Miguel where, similarly to a traditional journal club, a paper is first presented by a volunteer and then discussed among all attendees. Our goal is to give participants good initializations to effectively study and improve their understanding of Deep Learning. We will try to achieve this by:

* Discussing fundamental papers, whose main ideas are currently implemented on state-of-the-art models.

* Providing the audience with summaries, codes, and visualizations to help understand the critical parts of a paper.

● Find more information, the videos, and materials from previous sessions in https://github.com/Machine-Learning-Tokyo/__init__

=========================
MLT (Machine Learning Tokyo)

site: https://machinelearningtokyo.com/
github: https://github.com/Machine-Learning-Tokyo
slack: https://machinelearningtokyo.slack.com/messages
discuss: https://discuss.mltokyo.ai/
twitter: https://twitter.com/__MLT__
meetup: https://www.meetup.com/Machine-Learning-Tokyo/
facebook: https://www.facebook.com/machinelearningtokyo

Видео MLT __init__ Session #2: DeepLab — Semantic Image Segmentation канала MLT Artificial Intelligence