Siamese Convolutional Neural Networks to Quantify Crack Pattern Similarity in Masonry Facades

This paper proposes an automated approach to predict crack pattern similarities that correlate well with assessment by structural engineers. We use Siamese convolutional neural networks (SCNN) that take two crack pattern images as inputs and output scalar similarity measures. We focus on 2D masonry facades with and without openings. The image...

Cluster Centers Provide Good First Labels for Object Detection

Learning object detection models with a few labels, is possible due to ingenious few-shot techniques, and due to clever selection of images to be labeled. Few-shot techniques work with as few as 1 to 10 randomized labels per object class. We are curious if performance of randomized label selection can be improved by selecting 1 to 10 labels per...

Coarse-to-Fine Visual Question Answering by Iterative, Conditional Refinement

Visual Question Answering (VQA) is a very interesting tech nique to answer natural language questions about an image. Recent methods have focused on incorporating knowledge into an improved VQA model, by augmenting the training set, representing scene graphs, or including reasoning. We also leverage knowledge to make VQA more robust. Yet we take...

Automated operator support for vessel threat assessment

Long range person and vehicle detection

Automatic detection and tracking of persons and vehicles can greatly increase situational awareness in many military applications. Various methods for detection and tracking have been proposed so far, both for rule-based and learning approaches. With the advent of deep learning, learning approaches generally outperform rule-based approaches. Pre...

Evaluation of detection and tracking performance in imaging systems

Imaging systems can be used to obtain situational awareness in maritime situations. Important tools for these systems are automatic detection and tracking of objects in the acquired imagery, in which numerous methods are being developed. When designing a detection or tracking algorithm, its quality should be ensured by a comparison with existing...

Maritime detection framework 2.0: A new approach of maritime target detection in electro-optical sensors

Detecting maritime targets with electro-optical sensors is an active area of research. One current trend is to automate target detection through image processing or computer vision. Automation of target detection will decrease the number of people required for lower-level tasks, which frees capacity for higher-level tasks. A second trend is that...

Advanced Image Analysis for Modeling the Aging Brain Geavanceerde beeldanalyse om het verouderende brein te modelleren