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 16725
2013 5047
2016 1065
2016 1053
2017 942
2015 574
2012 543
2015 186
2017 174
2020 128
2017 120
2018 71
2020 68
2018 50
2014 31
2016 28
2016 24
2019 20
2018 15
2017 15
2000 12
2019 9
2019 9
2019 9
2022 8
2019 7
2017 4
2019 4
2020 4
2021 4
2017 3
2018 3
2021 3
2015 3
2019 2
2020 2
2019 2
2021 2
2019 1
2019 1
2019 1
2021 1
2021 1
2021 1
2021 1