3 papers
cs.CV2021
FourierMask: Instance Segmentation using Fourier Mapping in Implicit Neural Networks
Hamd ul Moqeet Riaz, Nuri Benbarka, Timon Hoefer +1
We present FourierMask, which employs Fourier series combined with implicit neural representations to generate instance segmentation masks. We apply a Fourier mapping (FM) to the c…
cs.CV2021
Seeing Implicit Neural Representations as Fourier Series
Nuri Benbarka, Timon Höfer, Hamd ul-moqeet Riaz +1
Implicit Neural Representations (INR) use multilayer perceptrons to represent high-frequency functions in low-dimensional problem domains. Recently these representations achieved s…
cs.CV2020
FourierNet: Compact mask representation for instance segmentation using differentiable shape decoders
Hamd ul Moqeet Riaz, Nuri Benbarka, Andreas Zell
We present FourierNet, a single shot, anchor-free, fully convolutional instance segmentation method that predicts a shape vector. Consequently, this shape vector is converted into…