Going deeper with Image Transformers

Transformers have been recently adapted for large scale image classification, achieving high scores shaking up the long supremacy of convolutional neural networks. However the optimization of vision transformers has been little studied so far. In this work, we build and optimize deeper transformer n...

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Bibliographic Details
Main Authors: Touvron, Hugo, Cord, Matthieu, Sablayrolles, Alexandre, Synnaeve, Gabriel, Jegou, Herve
Format: Conference Proceeding
Language:English
Subjects:
Circuit faults
Computer architecture
Computer vision
Data models
Machine learning architectures and formulations
Neural networks
Optimization and learning methods
Recognition and classification
Training
Training data
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