3 papers
cs.CV2022
Person Detection Using an Ultra Low-resolution Thermal Imager on a Low-cost MCU
Maarten Vandersteegen, Wouter Reusen, Kristof Van Beeck +1
Detecting persons in images or video with neural networks is a well-studied subject in literature. However, such works usually assume the availability of a camera of decent resolut…
cs.CV2021
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty
Robby Neven, Davy Neven, Bert De Brabandere +2
Since the rise of deep learning, many computer vision tasks have seen significant advancements. However, the downside of deep learning is that it is very data-hungry. Especially fo…
cs.CV2020
Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules
Robby Neven, Marian Verhelst, Tinne Tuytelaars +1
Training deep learning models on embedded devices is typically avoided since this requires more memory, computation and power over inference. In this work, we focus on lowering the…