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Örnek et al., 2022 - Google Patents

A novel approach for visualization of class activation maps with reduced dimensions

Örnek et al., 2022

Document ID
9883307970286592259
Author
Örnek A
Ceylan M
Publication year
Publication venue
2022 Innovations in intelligent systems and applications conference (ASYU)

External Links

Snippet

Explaining how deep neural networks work is a new and challenging area for computer vision projects. The deep learning models are seen as Black-Box models because of the number of hidden layers, neurons, and activation functions. Class Activation Map (CAM) is a …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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    • G06K9/62Methods or arrangements for recognition using electronic means
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6288Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
    • G06K9/629Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of extracted features
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