Projects per year
Abstract
Original language | English |
---|---|
Pages (from-to) | 1920-1931 |
Number of pages | 12 |
Journal | IEEE Transactions on Cybernetics |
Volume | 53 |
Issue number | 3 |
Early online date | 22 Jul 2022 |
DOIs | |
Publication status | Published - Mar 2023 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2013 IEEE.
Funding
This work was supported in part by the National Key Research and Development Program of China under Grant 2021ZD0112100; in part by the Beijing Nova Program under Grant Z201100006820016; in part by the National Natural Science Foundation of China under Grant 62002014, Grant U1936212, Grant 62120106009, Grant U21B2038, and Grant 61931008; in part by the Beijing Natural Science Foundation under Grant 4222013; in part by the Hong Kong Research Grants Council (RGC) General Research Funds under Grant 9042816 (CityU 11209819) and Grant 9042958 (CityU 11203820); in part by the Hong Kong Innovation and Technology Commission (InnoHK Project CIMDA); in part by the Young Elite Scientist Sponsorship Program by the China Association for Science and Technology under Grant 2020QNRC001; in part by the Young Elite Scientist Sponsorship Program by the Beijing Association for Science and Technology; in part by the Hong Kong Scholars Program under Grant XJ2020040; in part by the CAAI-Huawei MindSpore Open Fund; and in part by the Miss Yang's Project of the Fundamental Research Funds for the Central Universities under Grant 2021YJS046.
Keywords
- 3-D convolution
- co-salient object detection (CoSOD)
- global correspondence modeling (GCM)
- local correspondence modeling (LCM)
Fingerprint
Dive into the research topics of 'Global-and-Local Collaborative Learning for Co-Salient Object Detection'. Together they form a unique fingerprint.Projects
- 1 Finished
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Adaptive Dynamic Range Enhancement Oriented to High Dynamic Display (面向高動態顯示的自適應動態範圍增強)
KWONG, S. T. W. (PI), KUO, C.-C. J. (CoI), WANG, S. (CoI) & ZHANG, X. (CoI)
Research Grants Council (HKSAR)
1/01/21 → 31/12/24
Project: Grant Research