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Found 3 papers, 1 papers with code
Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement
Accurate classification of laryngeal vascular as benign or malignant is crucial for early detection of laryngeal cancer.
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels
Large-scale image datasets are often partially labeled, where only a few categories' labels are known for each image.
A Multiple Classifier Approach for Concatenate-Designed Neural Networks
This article introduces a multiple classifier method to improve the performance of concatenate-designed neural networks, such as ResNet and DenseNet, with the purpose to alleviate the pressure on the final classifier.
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