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Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows

Zheyun Qin Xiankai Lu Xiushan Nie Dongfang Liu Yilong Yin Wenguan Wang

自动化学报（英文版）2023，Vol.10Issue(5)：1192-1208,17.

自动化学报（英文版）2023，Vol.10Issue(5)：1192-1208,17.DOI:10.1109/JAS.2023.123456

Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows

Zheyun Qin ¹Xiankai Lu ¹Xiushan Nie ²Dongfang Liu ³Yilong Yin ¹Wenguan Wang⁴

作者信息

1. School of Software,Shandong University,Jinan 250101,China
2. School of Computer Science and Technology,Shandong Jianzhu University,Jinan 250101,China
3. College of Computer and Information Science,Southwest University,Chongqing 400715,China
4. College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China
折叠

摘要

关键词

Embedding learning/generative model/normalizing

Key words

Embedding learning/generative model/normalizing

引用本文复制引用

Zheyun Qin,Xiankai Lu,Xiushan Nie,Dongfang Liu,Yilong Yin,Wenguan Wang..Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows[J].自动化学报（英文版）,2023,10(5):1192-1208,17.

基金项目

This work was supported in part by the National Natural Science Foundation of China(62176139,62106128,62176141),the Major Basic Research Project of Shandong Natural Science Foundation(ZR2021ZD15),the Natural Science Foundation of Shandong Province(ZR2021QF001),the Young Elite Scientists Sponsorship Program by CAST(2021QNRC001),the Open Project of Key Laboratory of Artificial Intellig-ence,Ministry of Education,the Shandong Provincial Natural Science Foundation for Distinguished Young Scholars(ZR2021JQ26),and the Tai-shan Scholar Project of Shandong Province(tsqn202103088). （62176139,62106128,62176141）

自动化学报（英文版）

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ISSN：2329-9266

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