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Found 2 papers, 1 papers with code
Supervised Class-pairwise NMF for Data Representation and Classification
The objective of this work is to design an evolutionary framework to learn the hyper-parameter of the parameterized NMF and estimate the factorizing matrices in a supervised way to be more suitable for classification problems.
SpinalNet: Deep Neural Network with Gradual Input
Traditional learning with ImageNet pre-trained initial weights and SpinalNet classification layers provided the SOTA performance on STL-10, Fruits 360, Bird225, and Caltech-101 datasets.
Ranked #1 on
Satellite Image Classification
on STL-10, 40 Labels
Fine-Grained Image Classification
Satellite Image Classification
+1
