Li-ZK
Zhaokui Li is a Professor at the School of Computer, Shenyang Aerospace University, China. His research interests include image analysis and machine learning.
沈阳航空航天大学 shenyang aerospace university沈阳 shenyang
Pinned Repositories
CDFS-CASCL-2024
CIR-FSD-2022
Context Information Refinement for Few-Shot Object Detection in Remote Sensing Images Yan Wang, Chaofei Xu, Cuiwei Liu and Zhaokui Li *
CLDA-2022
Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification(DOI: 10.1109/TGRS.2022.3166817)
DCFSL-2021
Deep Cross-domain Few-shot Learning for Hyperspectral Image Classification
DCRN-2021
Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels
FSCF-SSL-2023
HFSL
Heterogeneous Few-shot Learning for Hyperspectral Image Classification
MAFN-2021
Hyperspectral Image Classification with Multi-attention Fusion Network-code
MFDN-2020
Deep Multi-layer Fusion Dense Network for Hyperspectral Image Classification.
SCLUDA-2023
Supervised Contrastive Learning-Based Unsupervised Domain Adaptation for Hyperspectral Image Classification
Li-ZK's Repositories
Li-ZK/DCFSL-2021
Deep Cross-domain Few-shot Learning for Hyperspectral Image Classification
Li-ZK/MAFN-2021
Hyperspectral Image Classification with Multi-attention Fusion Network-code
Li-ZK/CLDA-2022
Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification(DOI: 10.1109/TGRS.2022.3166817)
Li-ZK/DCRN-2021
Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels
Li-ZK/SCLUDA-2023
Supervised Contrastive Learning-Based Unsupervised Domain Adaptation for Hyperspectral Image Classification
Li-ZK/HFSL
Heterogeneous Few-shot Learning for Hyperspectral Image Classification
Li-ZK/CIR-FSD-2022
Context Information Refinement for Few-Shot Object Detection in Remote Sensing Images Yan Wang, Chaofei Xu, Cuiwei Liu and Zhaokui Li *
Li-ZK/FSCF-SSL-2023
Li-ZK/CDFS-CASCL-2024
Li-ZK/MFDN-2020
Deep Multi-layer Fusion Dense Network for Hyperspectral Image Classification.
Li-ZK/OSC-SCL
Li-ZK/MBA-2023
Li-ZK/MSDA-2024
This is a code demo for the paper "_Masked Self-Distillation Domain Adaptation for Hyperspectral Image Classification_" in IEEE TGRS 2024.