Simple and Efficient Architectures for Semantic Segmentation-Reference-Cited by-同舟云学术

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Simple and Efficient Architectures for Semantic Segmentation

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
language:
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Author:

Mehta Dushyant¹,Skliar Andrii¹,Ben Yahia Haitam¹,Borse Shubhankar¹,Porikli Fatih¹,Habibian Amirhossein¹,Blankevoort Tijmen¹

Affiliation:

1. Qualcomm AI Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9856930/9856648/09856961.pdf?arnumber=9856961

Reference28 articles.

1. Deep dual-resolution networks for real-time and accurate semantic segmentation of road scenes;hong,2021

2. Searching for MobileNetV3

3. Real-Time Semantic Segmentation With Fast Attention

4. CCNet: Criss-Cross Attention for Semantic Segmentation

5. Panoptic Feature Pyramid Networks

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3. Multiple Resolutions Detail Enhancement Network for Real-Time Image Semantic Segmentation;IEEE Transactions on Artificial Intelligence;2024-07

4. Multi-scale constraints and perturbation consistency for semi-supervised sonar image segmentation;Signal, Image and Video Processing;2024-03-14

5. UAVPal: A New Dataset for Semantic Segmentation in Complex Urban Landscape With Efficient Multiscale Segmentation;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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