Significant feature suppression and cross-feature fusion networks for fine-grained visual classification

Retrieved on: 2024-10-14 15:58:30

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Computational neuroscience

Machine learning

Computer vision

Convolutional neural network

Training, validation, and test data sets

Feature learning

Neural network

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Significant feature suppression and cross-feature fusion networks for fine-grained visual classification. View article details on hiswai:

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To this end, we propose a saliency feature suppression and cross-feature fusion network model (SFSCF-Net) to explore the interaction learning between ...

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