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Computer Science > Computer Vision and Pattern Recognition

arXiv:2108.04349 (cs)
This paper has been withdrawn by Abhinav Sagar
[Submitted on 27 Jul 2021 (v1), last revised 14 May 2022 (this version, v3)]

Title:AASeg: Attention Aware Network for Real Time Semantic Segmentation

Authors:Abhinav Sagar
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Abstract: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.
Comments: This work makes assumptions which were found wrong later by the author
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV)
Cite as: arXiv:2108.04349 [cs.CV]
  (or arXiv:2108.04349v3 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2108.04349

Submission history

From: Abhinav Sagar [view email]
[v1] Tue, 27 Jul 2021 20:01:55 UTC (407 KB)
[v2] Wed, 11 Aug 2021 06:05:36 UTC (407 KB)
[v3] Sat, 14 May 2022 12:33:00 UTC (1 KB) (withdrawn)
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