The excellent performance of graph convolutional networks (GCNs) on non-Euclidean data has drawn widespread attention from the hyperspectral image classification (HSIC) community, where the predefined ...

The goal of few-shot image classification is to learn a classifier that can be well generalized to the unseen classes with a few available labeled samples. One major challenge for few-shot learning is ...

Publication date 1980 Topics Biometry, Statistics, Medical statistics, Statistics, Biology Statistics Visual presentation Manuals, Medicine Statistics Visual presentation Manuals Publisher Lancaster : ...

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This contains examples, scripts and code related to image classification using TensorFlow models (from here) converted to TensorRT. Converting TensorFlow models to TensorRT offers significant ...