Squeeze-and-Excitation Networks

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:convolutional_neural_network
gptkbp:abbreviation	gptkb:SENet
gptkbp:appliesTo	convolutional neural networks
gptkbp:arXivID	1709.01507
gptkbp:category	computer vision deep learning
gptkbp:citation	over 10,000
gptkbp:component	excitation operation scaling operation squeeze operation
gptkbp:contribution	channel-wise feature recalibration
gptkbp:implementedIn	gptkb:TensorFlow gptkb:PyTorch
gptkbp:improves	image classification accuracy
gptkbp:influenced	gptkb:EfficientNet gptkb:CBAM
gptkbp:introduced	gptkb:Gang_Sun gptkb:Jie_Hu gptkb:Li_Shen
gptkbp:introducedIn	2017
gptkbp:language	gptkb:Python
gptkbp:license	open source
gptkbp:notablePublication	gptkb:Squeeze-and-Excitation_Networks
gptkbp:pdf	https://arxiv.org/abs/1709.01507
gptkbp:publishedIn	gptkb:CVPR_2018
gptkbp:usedIn	gptkb:Inception gptkb:ResNet gptkb:MobileNet
gptkbp:won	gptkb:ILSVRC_2017_classification_task
gptkbp:bfsParent	gptkb:CVPR_2017
gptkbp:bfsLayer	6
https://www.w3.org/2000/01/rdf-schema#label	Squeeze-and-Excitation Networks