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 17149
2013 5131
2016 1092
2016 1082
2017 969
2015 592
2012 548
2015 190
2017 175
2020 134
2017 127
2018 72
2020 72
2018 51
2014 31
2016 28
2019 25
2016 24
2017 16
2018 15
2000 12
2019 10
2022 9
2019 9
2019 9
2019 7
2017 4
2019 4
2020 4
2018 4
2021 4
2015 3
2020 3
2017 3
2021 3
2021 2
2019 2
2019 2
2021 2
2021 1
2019 1
2019 1
2019 1
2021 1
2021 1