Multi-Manifold Attention for Vision Transformers

Multi-Manifold Attention for Vision Transformers

Vision Transformers are very popular nowadays due to their state-of-the-art performance in several computer vision tasks, such as image classification and action recognition. Although their performance has been greatly enhanced through highly descriptive patch embeddings and hierarchical structures,...

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Bibliographic Details
Main Authors: Dimitrios Konstantinidis, Ilias Papastratis, Kosmas Dimitropoulos, Petros Daras
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Attention
manifold
vision transformers
image classification
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/10305583/

Internet

https://ieeexplore.ieee.org/document/10305583/

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