2 papers
cs.CV2023
Deep Convolutional Tables: Deep Learning without Convolutions
Shay Dekel, Yosi Keller, Aharon Bar-Hillel
We propose a novel formulation of deep networks that do not use dot-product neurons and rely on a hierarchy of voting tables instead, denoted as Convolutional Tables (CT), to enabl…
cs.CV2023
Estimating Extreme 3D Image Rotation with Transformer Cross-Attention
Shay Dekel, Yosi Keller, Martin Cadik
The estimation of large and extreme image rotation plays a key role in multiple computer vision domains, where the rotated images are related by a limited or a non-overlapping fiel…