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Visual Semantic Segmentation Based on Few/Zero-Shot Learning:An Overview

Wenqi Ren Yang Tang Qiyu Sun Chaoqiang Zhao Qing-Long Han

自动化学报（英文版）2024，Vol.11Issue(5)：1106-1126,21.

自动化学报（英文版）2024，Vol.11Issue(5)：1106-1126,21.DOI:10.1109/JAS.2023.123207

Visual Semantic Segmentation Based on Few/Zero-Shot Learning:An Overview

Wenqi Ren ¹Yang Tang ¹Qiyu Sun ¹Chaoqiang Zhao ²Qing-Long Han³

作者信息

1. Key Laboratory of Smart Manufa-cturing in Energy Chemical Process,Ministry of Education,East China Uni-versity of Science and Technology,Shanghai 200237,China
2. National Key Laboratory of Air-Based Information Perception and Fusion,Aviation Industry Corporation of China,Luoyang 471000,China
3. School of Science,Computing and Engineering Technologies,Swinburne University of Technology,Melbourne VIC 3122,Australia
折叠

摘要

关键词

Computer vision/deep learning/few-shot learning/low-shot learning/semantic segmentation/zero-shot learning

Key words

Computer vision/deep learning/few-shot learning/low-shot learning/semantic segmentation/zero-shot learning

引用本文复制引用

Wenqi Ren,Yang Tang,Qiyu Sun,Chaoqiang Zhao,Qing-Long Han..Visual Semantic Segmentation Based on Few/Zero-Shot Learning:An Overview[J].自动化学报（英文版）,2024,11(5):1106-1126,21.

基金项目

This work was supported by National Key Research and Development Program of China(2021YFB1714300),the National Natural Science Foundation of China(62233005),and in part by the CNPC Innovation Fund(2021D002-0902),Fundamental Research Funds for the Central Universities and Shanghai AI Lab.Qiyu Sun is sponsored by Shanghai Gaofeng and Gaoyuan Project for University Academic Program Development. （2021YFB1714300）

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