Context and Spatial Feature Calibration for Real-Time Semantic Segmentation-Reference-Cited by-同舟云学术

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Context and Spatial Feature Calibration for Real-Time Semantic Segmentation

Published:2023 Issue: Volume:32 Page:5465-5477
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Li Kaige¹^ORCID,Geng Qichuan²,Wan Maoxian¹^ORCID,Cao Xiaochun³^ORCID,Zhou Zhong¹^ORCID

Affiliation:

1. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

2. Information Engineering College, Capital Normal University, Beijing, China

3. School of Cyber Science and Technology, Shenzhen Campus, Sun Yat-sen University, Shenzhen, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10268334.pdf?arnumber=10268334

Reference52 articles.

1. PP-LiteSeg: A superior real-time semantic segmentation model;peng;arXiv 2204 02681,2022

2. Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes

3. PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers

4. Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes

5. ThunderNet: A Turbo Unified Network for Real-Time Semantic Segmentation

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1. DFLM-YOLO: A Lightweight YOLO Model with Multiscale Feature Fusion Capabilities for Open Water Aerial Imagery;Drones;2024-08-16

2. Interactive segmentation based on deformable convolution and context feature calibration;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05

3. Image Semantic Segmentation Algorithm Improved Based on DeepLabV3+;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

4. HAFormer: Unleashing the Power of Hierarchy-Aware Features for Lightweight Semantic Segmentation;IEEE Transactions on Image Processing;2024

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