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Chen et al., 2022 - Google Patents

An adaptive multi-sensor visual attention model

Chen et al., 2022

Document ID
12792636992686841565
Author
Chen W
Li J
Shi H
Hwang K
Publication year
Publication venue
Neural Computing and Applications

External Links

Snippet

The emerging recurrent visual attention models mostly utilize a sensor to continuously capture features from the input, which requires a suited design for the sensor. Researchers usually need a number of attempts to determine optimal structures for the sensor and …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
    • G—PHYSICS
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