2024
DOI: 10.1109/tnnls.2022.3173498
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Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application

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Cited by 5 publications
(1 citation statement)
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“…(Bold represents optimal results with 100% training accuracy). Network Image size Layers Connections Train accuracy (%) Test accuracy (%) Training time (s) AlexNet [ 51 ] 227 25 24 8.84 8.90 285 GoogLeNet [ 52 ] 299 170 181 27.07 32.62 1563 Place365GoogLeNet 224 144 170 13.81 14.50 1396 SqueezeNet [ 53 ] 227 69 76 8.84 8.90 963 VGG16 [ 54 ] 224 41 40 75.74 79.94 4237 VGG19 [ 55 ] 224 47 46 53.16 50.25 4958 DarkNet53 [ 56 ] 256 184 206 99.44 96.38 4319 InceptionV3 [ 57 ] 299 315 349 …”
Section: Case Studiesmentioning
confidence: 99%
“…(Bold represents optimal results with 100% training accuracy). Network Image size Layers Connections Train accuracy (%) Test accuracy (%) Training time (s) AlexNet [ 51 ] 227 25 24 8.84 8.90 285 GoogLeNet [ 52 ] 299 170 181 27.07 32.62 1563 Place365GoogLeNet 224 144 170 13.81 14.50 1396 SqueezeNet [ 53 ] 227 69 76 8.84 8.90 963 VGG16 [ 54 ] 224 41 40 75.74 79.94 4237 VGG19 [ 55 ] 224 47 46 53.16 50.25 4958 DarkNet53 [ 56 ] 256 184 206 99.44 96.38 4319 InceptionV3 [ 57 ] 299 315 349 …”
Section: Case Studiesmentioning
confidence: 99%