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Self-Routing Capsule Networks

NeurIPS 2019 · Adversarial robustness and security › Certified and empirical robustness · approach: Augmentation and diffusion purification · 52 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace EM routing with self-routing in the capsule layersCapsNet on ResNet-20 · CIFAR-10error rate (%): 12.52 -> 7.86 (EM-2 vs SR-2)Helped
replace dynamic routing with self-routingCapsNet on ResNet-20 · CIFAR-10error rate (%): 7.86 -> 7.86 (DR-2 vs SR-2)No clear effect
replace dynamic routing with self-routingCapsNet on ResNet-20 (2 layers) · CIFAR-10FLOPs (M): 232.1 -> 140.3Helped
replace dynamic routing with self-routingCapsNet on 7-layer CNN · SmallNORB novel azimutherror rate (%): 20.33 -> 19.86Helped
replace dynamic routing with self-routingCapsNet on 7-layer CNN · SmallNORB novel elevationerror rate (%): 16.37 -> 15.91Helped
replace dynamic routing with self-routingCapsNet on 7-layer CNN · SmallNORB familiar azimutherror rate (%): 6.86 -> 7.62Hurt
add self-routing capsule layer instead of AvgPool+FC headResNet-20 · CIFAR-10error rate (%): 7.94 -> 8.17 (SR-1), 7.94 -> 7.86 (SR-2)Mixed
stack a second self-routing capsule layer (depth 1 to 2) (ablation)SR-CapsNet on ResNet-20 · CIFAR-10error rate (%): 8.17 -> 7.86Helped
stack a second self-routing capsule layer (depth 1 to 2) (ablation)SR-CapsNet on ResNet-20 · SVHNerror rate (%): 3.34 -> 3.12Helped
stack a second EM routing layer (depth 1 to 2)EM CapsNet on ResNet-20 · CIFAR-10error rate (%): 10.25 -> 12.52Hurt
increase number of capsules per layer (ablation)SR-CapsNet · FGSM attack success rate, CIFAR-10 and SVHNattack success rateHelped
increase number of capsules per layerdynamic and EM routing CapsNets · FGSM attack success rateattack success rateHurt

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