Guo-Hua Wang is currently a researcher and developer for deep learning. He focuses on:
- Multi-model Learning:
- Knowledge Distillation:
LSHFM.singleclassification
,LSHFM.multiclassification
,LSHFM.detection
- Model Compression/Acceleration:
Practise
- Knowledge Distillation:
- Few-label Learning:
- Semi-Supervised Learning:
R2D2.pytorch
- Few-shot Learning:
Practise
- Semi-Supervised Learning:
- Image Related Tasks:
- Image Classification:
LSHFM.singleclassification
,LSHFM.multiclassification
- Object Detection:
LSHFM.detection
- Semantic Segmentation:
C-3PO
- Change Detection:
C-3PO
- Image Retrieval:
DIGIX_2020_B_image_retrieval
,CBIR
,image_retrieval_demo
- Image Compression:
DCVC
- Image Classification:
๐ Dates | ๐ Projects | โญ Stars | ๐ Forks | ๐ Issues | ๐ฌ Pull requests |
2022.11-2023.3 | Practise | ||||
2023.1-2023.3 | njuthesis | ||||
2022.3-2022.10 | DCVC | ||||
2021.7-2021.11 | C-3PO | ||||
2020.8-2020.11 | DIGIX_2020_B_image_retrieval | ||||
2020.1-2020.8 | LSHFM.singleclassification | ||||
2020.1-2020.8 | LSHFM.multiclassification | ||||
2020.1-2020.8 | LSHFM.detection | ||||
2019.1-2019.12 | R2D2.pytorch |