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Network dissection: Quantifying interpretability of deep visual representations

ieeexplore.ieee.orgsite

CVPR'17, 2017. [All Versions]. [Project]. [Dataset: Places365]. The original paper on visualizing the class activation maps to explain convolutional neural networks.

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AGI & CoCoSci › Papers > Explainability > Explainable Deep Learning: “CVPR'17, 2017. [All Versions]. [Project]. [Dataset: Places365]. The original paper on visualizing the class activation maps to explain convolutional neural networks.”