Statements (26)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:application |
image classification
object detection semantic segmentation |
| gptkbp:citation |
over 10,000 (as of 2024)
|
| gptkbp:component |
channel-wise feature recalibration
excitation operation squeeze operation |
| gptkbp:contribution |
Squeeze-and-Excitation block
|
| gptkbp:fullName |
Squeeze-and-Excitation Network
|
| https://www.w3.org/2000/01/rdf-schema#label |
SENet
|
| gptkbp:introduced |
gptkb:Gang_Sun
gptkb:Jie_Hu gptkb:Li_Shen |
| gptkbp:notableAchievement |
winner of ILSVRC 2017 classification task
|
| gptkbp:notablePublication |
gptkb:Squeeze-and-Excitation_Networks
https://arxiv.org/abs/1709.01507 |
| gptkbp:openSource |
gptkb:TensorFlow
gptkb:PyTorch |
| gptkbp:publishedIn |
gptkb:CVPR_2018
|
| gptkbp:purpose |
improve channel interdependencies in convolutional neural networks
|
| gptkbp:relatedTo |
gptkb:Inception
gptkb:ResNet gptkb:VGG |
| gptkbp:bfsParent |
gptkb:Squeeze-and-Excitation_Networks
|
| gptkbp:bfsLayer |
7
|