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gptkbp:instanceOf
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deep learning model architecture
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gptkbp:architecture
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gptkb:convolutional_neural_network
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gptkbp:author
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gptkb:Zhuowen_Tu
gptkb:Ross_Girshick
gptkb:Kaiming_He
gptkb:Piotr_Dollár
gptkb:Saining_Xie
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gptkbp:basedOn
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gptkb:ResNet
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gptkbp:citation
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highly cited
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gptkbp:contribution
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introduces cardinality as a dimension for network design
improves accuracy with similar complexity to ResNet
uses split-transform-merge strategy
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gptkbp:developedBy
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gptkb:Facebook_AI_Research
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https://www.w3.org/2000/01/rdf-schema#label
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ResNeXt
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gptkbp:introducedIn
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2017
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gptkbp:notablePublication
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gptkb:Aggregated_Residual_Transformations_for_Deep_Neural_Networks
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gptkbp:openSource
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gptkb:TensorFlow
gptkb:PyTorch
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gptkbp:relatedTo
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gptkb:Inception
gptkb:ResNet
gptkb:DenseNet
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gptkbp:trainer
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gptkb:CIFAR-10
gptkb:CIFAR-100
gptkb:ImageNet
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gptkbp:url
|
https://arxiv.org/abs/1611.05431
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gptkbp:usedFor
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image classification
object detection
computer vision tasks
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gptkbp:bfsParent
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gptkb:convolutional_neural_network
gptkb:Meta_AI
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gptkbp:bfsLayer
|
5
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