Web: http://arxiv.org/abs/2209.11189

Sept. 23, 2022, 1:15 a.m. | Ioanna Gkartzonika, Nikolaos Gkalelis, Vasileios Mezaris

cs.CV updates on arXiv.org arxiv.org

In this paper two new learning-based eXplainable AI (XAI) methods for deep
convolutional neural network (DCNN) image classifiers, called L-CAM-Fm and
L-CAM-Img, are proposed. Both methods use an attention mechanism that is
inserted in the original (frozen) DCNN and is trained to derive class
activation maps (CAMs) from the last convolutional layer's feature maps. During
training, CAMs are applied to the feature maps (L-CAM-Fm) or the input image
(L-CAM-Img) forcing the attention mechanism to learn the image regions
explaining the …

arxiv attention classifiers image

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