Seam Carving as Feature Pooling in CNN
This work investigates the potential of seam carving as a feature pooling technique within Convolutional Neural Networks (CNNs) for image classification tasks. We propose replacing the traditional max pooling layer with a seam carving operation. Our experiments on the Caltech-UCSD Birds 200-2011 dataset demonstrate that the seam carving-based CNN ...
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Lu M, Niu S.
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A Combination of Saliency Histogram Equalization and Seam Carving for Image Resizing
Hsi-Chin Hsin
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El-Aty AA +10 more
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Martín-Rodríguez F +2 more
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