Image Feature Extractors

Computer Vision • 61 methods

Image Feature Extractors are functions or modules that can be used to learn representations from images. The most common type of feature extractor is a convolution where a kernel slides over the image, allowing for parameter sharing and translation invariance. Below you can find a continuously updating list of image feature extractors.

Subcategories

Method Year Papers
1980 13094
2013 4041
2016 794
2016 784
2017 694
2012 514
2015 456
2015 155
2017 115
2017 97
2020 84
2018 50
2020 43
2018 42
2016 25
2014 20
2016 15
2019 15
2017 14
2018 13
2000 11
2019 7
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2017 4
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2015 3
2021 3
2021 2
2017 2
2018 2
2019 2
2020 2
2019 2
2021 1
2019 1
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2022 1
2019 1
2021 1
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2020 1
2021 1
2021 1