Data-Efficient Sensor Upgrade Path Using Knowledge Distillation

Autor: Pieter Van Molle, Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Pieter Simoens, Bart Dhoedt

Publikováno v: Sensors, Vol 21, Iss 19, p 6523 (2021)

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 t

Externí odkaz: https://doaj.org/article/bf71d20ae35e4f95a2d1fcc487956e78

Data-Efficient Sensor Upgrade Path Using Knowledge Distillation

Autor: Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Bart Diricx, Pieter Simoens, Pieter Van Molle, Jonas De Vylder, Bart Dhoedt

Publikováno v: Sensors
Volume 21
Issue 19
Sensors, Vol 21, Iss 6523, p 6523 (2021)
Sensors (Basel, Switzerland)
SENSORS

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 t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18d05ad5d8d920e0c12bb581f977c2fa

Learning robots to grasp by demonstration

Autor: Bart Dhoedt, Tim Verbelen, Elias De Coninck, Pieter Simoens, Pieter Van Molle

Publikováno v: ROBOTICS AND AUTONOMOUS SYSTEMS

In recent years, we have witnessed the proliferation of so-called collaborative robots or cobots, that are designed to work safely along with human operators. These cobots typically use the “program from demonstration” paradigm to record and repl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5827516e9ace0e617a546ece16a8d7d7
https://biblio.ugent.be/publication/8659646

Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification

Autor: Pieter Van Molle, Cedric De Boom, Bart Diricx, Tim Verbelen, Bart Dhoedt, Bert Vankeirsbilck, Jonas De Vylder, Tom Kimpe, Pieter Simoens

Publikováno v: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures ISBN: 9783030326883
UNSURE/CLIP@MICCAI

Deep neural networks are becoming the new standard for automated image classification and segmentation. Recently, such models are also gaining traction in the context of medical diagnosis. However, when using a neural network as a decision support to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8ce46d794cb67e97a89ebabcbf69caed
https://doi.org/10.1007/978-3-030-32689-0_6

Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification

Autor: Miguel De Strooper, Bert Vankeirsbilck, Pieter Van Molle, Pieter Simoens, Bart Dhoedt, Tim Verbelen

Publikováno v: Understanding and Interpreting Machine Learning in Medical Image Computing Applications ISBN: 9783030026271
MLCN/DLF/iMIMIC@MICCAI
Ghent University Academic Bibliography

Because of their state-of-the-art performance in computer vision, CNNs are becoming increasingly popular in a variety of fields, including medicine. However, as neural networks are black box function approximators, it is difficult, if not impossible,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ae0535990a6d704f1d16f264c3598d5