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Inpainting and Denoising Challenges ISBN: 9783030256135
We present a supervised video decaptioning algorithm driven by an encoder-decoder pixel prediction. By analogy with auto-encoders, we use U-Net with stacked dilated Convolution layer which is a convolutional neural network trained to generate the dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4c90ad027caee5789ac4dc851b9cc11
https://doi.org/10.1007/978-3-030-25614-2_6
https://doi.org/10.1007/978-3-030-25614-2_6
Autor:
Shivansh Mundra, Nishant Nikhil
In this paper, we describe the system submitted for the shared task on Social Media Mining for Health Applications by the team Light. Previous works demonstrate that LSTMs have achieved remarkable performance in natural language processing tasks. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::974464aeb303a47931a7d45947dfb96c
Autor:
Renee DiResta
An “essential and riveting” (Jonathan Haidt) analysis of the radical shift in the dynamics of power and influence, revealing how the machinery that powered the Big Lie works to create bespoke realities revolutionizing politics, culture, and socie
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intel
The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep ge