Data-Efficient Sensor Upgrade Path Using Knowledge Distillation

Data-Efficient Sensor Upgrade Path Using Knowledge Distillation

Deep neural networks have achieved state-of-the-art performance in image classification. Due to this success, deep learning is now also being applied to other data modalities such as multispectral images, lidar and radar data. However, successfully training a deep neural network requires a large red...

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Bibliographic Details
Main Authors: Pieter Van Molle, Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Pieter Simoens, Bart Dhoedt
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
deep learning
knowledge distillation
cross-modal distillation
sensor upgrade
skin lesion classification
multispectral imaging
Online Access:https://www.mdpi.com/1424-8220/21/19/6523

Internet

https://www.mdpi.com/1424-8220/21/19/6523

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