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 15206
2013 4691
2016 974
2016 959
2017 860
2012 531
2015 516
2015 176
2017 173
2017 112
2020 100
2018 61
2020 56
2018 47
2016 26
2014 26
2016 20
2019 17
2018 14
2017 14
2000 12
2019 9
2019 8
2019 7
2019 7
2022 4
2017 4
2019 4
2021 4
2017 3
2018 3
2021 3
2015 3
2019 2
2020 2
2020 2
2019 2
2021 2
2019 1
2019 1
2019 1
2021 1
2021 1
2021 1
2021 1