Image Feature Extractors

Computer Vision • 63 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 19146
2013 5557
2016 1283
2016 1270
2017 1143
2015 669
2012 569
2015 205
2017 181
2020 162
2017 147
2020 90
2018 76
2018 53
2014 36
2016 29
2019 28
2016 26
2017 17
2018 16
2022 13
2000 12
2019 12
2019 10
2019 9
2019 8
2021 6
2017 6
2012 6
2019 5
2021 5
2020 5
2015 4
2018 4
2020 4
2019 3
2017 3
2019 3
2021 2
2021 2
2019 2
2024 1
2021 1
2019 1
2019 1
2021 1
2021 1