Projects per year
|Number of pages||15|
|Journal||IEEE Transactions on Circuits and Systems for Video Technology|
|Early online date||8 Sept 2022|
|Publication status||Published - Feb 2023|
Bibliographical noteFunding Information:
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, and Grant 62120106009; in part by the Beijing Natural Science Foundation under Grant 4222013; in part by the Hong Kong Innovation and Technology Commission (InnoHK Project CIMDA); in part by the Hong Kong GRF-RGC General Research Fund under Grant 11209819 (CityU 9042816) and Grant 11203820 (CityU 9042598); in part by the Natural Science Foundation of Zhejiang under Grant LR22F020002; in part by the Young Elite Scientist Sponsorship Program by the China Association for Science and Technology under Grant 2020QNRC001; and in part by the CAAI-Huawei MindSpore Open Fund. The work of Runmin Cong was supported in part by the Fundamental Research Funds for the Central Universities under Grant 2022JBMC002.
© 1991-2012 IEEE.
- group-wise incremental mechanism
- hybrid labels
- Salient object detection
- weakly supervised learning
FingerprintDive into the research topics of 'A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels'. Together they form a unique fingerprint.
- 1 Active
KWONG, S. T. W., KUO, C. J., WANG, S. & ZHANG, X.
1/01/21 → 30/06/24
Project: Grant Research