End-to-end learning, and audio-visual human-centric video understanding
<p>The field of machine learning has seen tremendous progress in the last decade, largely due to the advent of deep neural networks. When trained on large-scale labelled datasets, these machine learning algorithms can learn powerful semantic representations directly from the input data, end-to...
Hlavní autor: | Brown, A |
---|---|
Další autoři: | Zisserman, A |
Médium: | Diplomová práce |
Jazyk: | English |
Vydáno: |
2022
|
Témata: |
Podobné jednotky
-
Sign language understanding using multimodal learning
Autor: Momeni, L
Vydáno: (2024) -
Video understanding using multimodal deep learning
Autor: Nagrani, A
Vydáno: (2020) -
Deep vision for indoor understanding and localisation
Autor: Howard-Jenkins, H
Vydáno: (2022) -
END TO END LEARNING FOR A DRIVING SIMULATOR
Autor: V. F. Alexeev, a další
Vydáno: (2019-06-01) -
Self-Supervised Learning for Audio-Visual Relationships of Videos With Stereo Sounds
Autor: Tomoya Sato, a další
Vydáno: (2022-01-01)