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Found 3 papers, 1 papers with code
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
For the super-resolution task in the training phase, a novel pre-training method is designed to enhance the model representation capabilities further and validate the proposed model's effectiveness through many experiments.
Bilinear discriminant feature line analysis for image feature extraction
A novel bilinear discriminant feature line analysis (BDFLA) is proposed for image feature extraction.
Polyhedron Volume-Ratio-based Classification for Image Recognition
In this paper, a novel method, called polyhedron volume ratio classification (PVRC) is proposed for image recognition
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