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04/13/2021
Mixed supervision for surface-defect detection: from weakly to fully supervised learning
Deep-learning methods have recently started being employed for addressin...
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07/15/2020
End-to-end training of a two-stage neural network for defect detection
Segmentation-based, two-stage neural network has shown excellent results...
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04/01/2019
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
Automatic detection and recognition of traffic signs plays a crucial rol...
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03/20/2019
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection
Automated surface-anomaly detection using machine learning has become an...
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02/20/2019
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
Convolutional neural networks excel in a number of computer vision tasks...
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11/30/2017
Spatially-Adaptive Filter Units for Deep Neural Networks
Classical deep convolutional networks increase receptive field size by e...
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09/13/2016
