Publication
Principal Feature Visualisation in Convolutional Neural Networks
https://www.sintef.no/en/publications/publication/?pubid=1872215
Marianne Bakken
Research Scientist/PhD Fellow
Marianne Bakken
Research Scientist/PhD Fellow
Publications and responsibilities
Publication
Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields
https://www.sintef.no/en/publications/publication/?pubid=1846881
Publication
Fast reasoning visualization for deep convolutional networks
https://www.sintef.no/en/publications/publication/?pubid=1872197
Publication
Principal Feature Visualisation in Convolutional Neural Networks
https://www.sintef.no/en/publications/publication/?pubid=1872165
We introduce a new visualisation technique for CNNs called Principal Feature Visualisation (PFV). It uses a single forward pass of the original network to map principal features from the nal convolutional layer to the original image space as RGB channels. By working on a batch of images we can...
Publication
End-to-end learning for autonomous crop row-following
https://www.sintef.no/en/publications/publication/?pubid=1767294
Publication
End-to-end Learning for Autonomous Navigation for Agricultural Robots
https://www.sintef.no/en/publications/publication/?pubid=1664311
Publication
Bin Picking of Reflective Steel Parts Using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment
https://www.sintef.no/en/publications/publication/?pubid=1687425
We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution convolutional neural network trained entirely in a simulated environment. The dual...
Authors
Jonatan Sjølund Dyrstad
Marianne Bakken
Esten Ingar Grøtli
Helene Schulerud
John Reidar Mathiassen
Year
2018
Type
Academic chapter/article/Conference paper
Publication
End-to-end Learning for Autonomous Navigation for Agricultural Robots
https://www.sintef.no/en/publications/publication/?pubid=1664298
Publication
Bin Picking of Reflective Steel Parts using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment
https://www.sintef.no/en/publications/publication/?pubid=1665083
Authors
Jonatan Sjølund Dyrstad
Marianne Bakken
Esten Ingar Grøtli
Helene Schulerud
John Reidar Mathiassen
Year
2018
Type
Academic lecture
Publication
Apricot 2 - CT imaging of whole fish and fillets
https://www.sintef.no/en/publications/publication/?pubid=1411807
The objectives of this project have been to image bones in whole fish and fillets in 9 different spices and to provide detailed information about the size, orientation and location of pinbones and the walking stick bone in fillets. For each spices 2-4 fillets were CT scanned and analyzed. The bones...