Video Transformers: A Survey

Transformer models have shown great success handling long-range interactions, making them a promising tool for modeling video. However, they lack inductive biases and scale quadratically with input length. These limitations are further exacerbated when dealing with the high dimensionality introduced...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2023-11, Vol.45 (11), p.12922-12943
Main Authors: Selva, Javier, Johansen, Anders S., Escalera, Sergio, Nasrollahi, Kamal, Moeslund, Thomas B., Clapes, Albert
Format: Article
Language:English
Subjects:
Artificial intelligence
Bias
computer vision
Current transformers
Data models
Redundancy
self-attention
Self-supervised learning
Task analysis
Tokenization
Training
Transformers
video representations
Visualization
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