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

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

作者单位：Key Laboratory of Smart Manufa-cturing in Energy Chemical Process,Ministry of Education,East China Uni-versity of Science and Technology,Shanghai 200237,ChinaKey Laboratory of Smart Manufa-cturing in Energy Chemical Process,Ministry of Education,East China Uni-versity of Science and Technology,Shanghai 200237,ChinaKey Laboratory of Smart Manufa-cturing in Energy Chemical Process,Ministry of Education,East China Uni-versity of Science and Technology,Shanghai 200237,ChinaNational Key Laboratory of Air-Based Information Perception and Fusion,Aviation Industry Corporation of China,Luoyang 471000,ChinaSchool of Science,Computing and Engineering Technologies,Swinburne University of Technology,Melbourne VIC 3122,Australia

中文关键词：Computer visiondeep learningfew-shot learninglow-shot learningsemantic segmentationzero-shot learning

英文关键词：Computer visiondeep learningfew-shot learninglow-shot learningsemantic segmentationzero-shot learning

刊名：《自动化学报（英文版）》 2024 (5)

页码/页数：1106-1126,21

基金：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.

DOI：10.1109/JAS.2023.123207