AASeg: Attention Aware Network for Real Time Semantic Segmentation

Autor:	Sagar, Abhinav
Rok vydání:	2021
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	In this paper, we present a new network named Attention Aware Network (AASeg) for real time semantic image segmentation. Our network incorporates spatial and channel information using Spatial Attention (SA) and Channel Attention (CA) modules respectively. It also uses dense local multi-scale context information using Multi Scale Context (MSC) module. The feature maps are concatenated individually to produce the final segmentation map. We demonstrate the effectiveness of our method using a comprehensive analysis, quantitative experimental results and ablation study using Cityscapes, ADE20K and Camvid datasets. Our network performs better than most previous architectures with a 74.4\% Mean IOU on Cityscapes test dataset while running at 202.7 FPS. Comment: This work makes assumptions which were found wrong later by the author
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2108.04349 Zobrazit plný text záznamu View this record from Arxiv