3 papers
cs.CV2024
Under pressure: learning-based analog gauge reading in the wild
Maurits Reitsma, Julian Keller, Kenneth Blomqvist +1
We propose an interpretable framework for reading analog gauges that is deployable on real world robotic systems. Our framework splits the reading task into distinct steps, such th…
cs.CV2023
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification
Nicolas Gorlo, Kenneth Blomqvist, Francesco Milano +1
Most object-level mapping systems in use today make use of an upstream learned object instance segmentation model. If we want to teach them about a new object or segmentation class…
cs.RO2023
Neural Implicit Vision-Language Feature Fields
Kenneth Blomqvist, Francesco Milano, Jen Jen Chung +2
Recently, groundbreaking results have been presented on open-vocabulary semantic image segmentation. Such methods segment each pixel in an image into arbitrary categories provided…