Local Memory Attention for Fast Video Semantic Segmentation
Local Memory Attention for Fast Video Semantic Segmentation
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 …