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Research map / Architectures and efficiency / RNNs and normalization

PolyNet: A Pursuit of Structural Diversity in Very Deep Networks

CVPR 2017 · Architectures and efficiency › RNNs and normalization · approach: Efficient network compression and training · 251 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace Inception residual units with PolyInception modules (ablation)IR 3-6-3 · ILSVRC 2012 validation set, single-cropTop-5 accuracyHelped
Use a mixed sequence of 3-way, mpoly-3, and poly-3 modules instead of uniform modules (ablation)IR 6-12-6, stage B · ILSVRC 2012 validation set, single-cropTop-5 errorHelped
Use poly-3 instead of mpoly-3 (ablation)IR 3-6-3, stage B · ILSVRC 2012 validation set, single-cropTop-5 accuracyNo clear effect
Increase ResNet depth from ResNet-269 to ResNet-500 (ablation)ResNet · ILSVRC 2012 validation set, single-cropTop-5 error: 4.9% -> 4.8%Helped
Increase ResNet depth from ResNet-269 to ResNet-500 (ablation)ResNet · ILSVRC 2012 validation set, multi-cropTop-5 error: 3.55 -> 3.63Hurt
Increase network depth rather than structural diversity at larger compute budgets (ablation)Inception-ResNet-v2 and PolyNet · ILSVRC 2012 validation set, single-cropTop-5 accuracyMixed

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