DO-Conv : Depthwise Over-Parameterized Convolutional Layer
Convolutional layers are the core building blocks of Convolutional Neural Networks (CNNs). In this paper, we propose to augment a convolutional layer with an additional depthwise convolution, where each input channel is convolved with a different 2D kernel. The composition of the two convolutions co...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 01., Seite 3726-3736
|
|---|
| 1. Verfasser: |
Cao, Jinming
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Li, Yangyan,
Sun, Mingchao,
Chen, Ying,
Lischinski, Dani,
Cohen-Or, Daniel,
Chen, Baoquan,
Tu, Changhe |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2022
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article |
|---|