Convolutions

Computer Vision • 37 methods

Convolutions are a type of operation that can be used to learn representations from images. They involve a learnable kernel sliding over the image and performing element-wise multiplication with the input. The specification allows for parameter sharing and translation invariance. Below you can find a continuously updating list of convolutions.

Method Year Papers
1980 9218
2013 2862
2016 492
2016 486
2012 458
2017 433
2015 305
2015 110
2017 63
2018 35
2020 33
2018 28
2016 18
2016 11
2000 10
2014 10
2020 8
2017 8
2019 7
2018 7
2019 5
2019 5
2019 4
2017 4
2019 4
2019 3
2015 3
2019 2
2017 2
2018 2
2019 2
2019 1
2019 1
2021 1
2021 0