Consensus – How To Detect Data Poisoning with Active Learning
Active Learning is primarily about reducing the amount of data required to train an AI model. To do this, an AI model is used to specifically select the data [...]
Active Learning is primarily about reducing the amount of data required to train an AI model. To do this, an AI model is used to specifically select the data [...]
In mid-June, we presented our latest paper on anomaly detection in a workshop at this year's CVPR conference. Anomaly detection is an AI-based image processing technique to quickly visualize [...]
The European Machine Vision Forum (EMVF) is a remarkable platform for machine vision enthusiasts in Europe, bridging the gap between researchers and industry experts. This year, over 100 participants [...]
One of our most interesting projects is the AI-based quality assurance of tunnel segments. Together with our customer VMT GmbH we were able to publish a paper of this [...]
While usually working with precasted concrete elements, we joined forces with Dr. Ravi A. Patel and Dr.-Ing. Frank Dehn from the “Institute for building materials and concrete construction (IMB)” at [...]