IndraLab

Statements

CALM1 binds cnn. 2 / 2
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sparser
"Experiments show that TS-CAM outperforms its CNN-CAM counterpart by 11.6% and 28.9% on ILSVRC and CUB-200-2011 datasets, respectively, improving the state-of-the-art with large margins."
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sparser
"Zhang et al. [73] used 3D densely connected convolutional neural network (CAM-CNN) to extract brain MRI multilevel features for classification of Alzheimer's disease and mild cognitive impairment, densely connected difference at different unit levels; 3D dense unit introduces attention mechanism to generate attention maps and sum transformed MRI hierarchical data into more compact high-level; model has high classification prediction accuracy, and classification performance is at the highest level."
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