DANIEL , Lionel

While object detection methods traditionally make use of pixel-level masks or bounding boxes, alternative representations such as polygons or active contours have recently emerged. Among them, methods based on the regression of Fourier or Chebyshev coefficients have shown high potential on freeform objects. By defining object shapes as polar...

Semantic segmentation methods have made impressiveprogress with deep learning. However, while achievinghigher and higher accuracy, state-of-the-art neural net-works overlook the complexity of architectures, which typ-ically feature dozens of millions of trainable parameters.Consequently, these networks requires high...