Image Feature Extractors

Computer Vision • 58 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 10380
2013 3253
2016 587
2016 586
2017 516
2012 484
2015 351
2015 125
2017 94
2017 69
2020 53
2018 39
2018 35
2020 19
2016 18
2014 13
2017 12
2000 11
2016 11
2018 10
2019 7
2019 5
2019 5
2019 5
2019 5
2017 4
2015 3
2019 3
2017 2
2018 2
2019 2
2020 2
2021 2
2019 2
2021 2
2021 1
2019 1
2019 1
2019 1
2021 1
2020 1
2021 1