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 8920
2013 2775
2016 469
2016 460
2012 455
2017 411
2015 298
2015 108
2017 60
2018 35
2020 32
2018 28
2016 18
2016 11
2000 9
2014 9
2020 8
2019 7
2018 7
2017 7
2019 5
2019 5
2017 4
2019 4
2019 3
2019 3
2015 3
2019 2
2017 2
2018 2
2019 2
2019 1
2019 1
2021 1
2021 0