Local Memory Attention for Fast Video Semantic Segmentation
Matthieu Paul,Martin Danelljan,Luc Van Gool,Radu Timofte,Matthieu Paul,Martin Danelljan,Luc Van Gool,Radu Timofte
We propose a novel neural network module that transforms an existing single-frame semantic segmentation model into a video semantic segmentation pipeline. In contrast to prior works, we strive towards a simple, fast, and general module that can be integrated into virtually any single-frame architecture. Our approach aggregates a rich representation of the semantic information in past frames into a...
