1 citations · 1 across the 1 of their papers we have counts for
3 papers · 1 filter
Spatial Action Unit Cues for Interpretable Deep Facial Expression Recognition
Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich +2
Although state-of-the-art classifiers for facial expression recognition (FER) can achieve a high level of accuracy, they lack interpretability, an important feature for end-users.…
Source-Free Domain Adaptation for YOLO Object Detection
Simon Varailhon, Masih Aminbeidokhti, Marco Pedersoli +1
Source-free domain adaptation (SFDA) is a challenging problem in object detection, where a pre-trained source model is adapted to a new target domain without using any source domai…
Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting
David Latortue, Moetez Kdayem, Fidel A Guerrero Peña +2
Object detection models are commonly used for people counting (and localization) in many applications but require a dataset with costly bounding box annotations for training. Given…