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Local Context Normalization: Revisiting Local Normalization

CVPR 2020 · Detection and segmentation › CNN features · approach: Local features and context in CNNs · 30 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace BN with local context normalizationHRNetV2 W48 · Cityscapes valmIoU Class (%): 76.22 -> 77.49Helped
Replace BN with local context normalizationHRNetV2 W18 Small v1 · Cityscapes valmIoU Class (%): 71.27 -> 71.77Helped
Use LCN instead of GNMask R-CNN R50 · COCO val2017 (minival)AP^bbox (%): 37.34 -> 37.90Helped
Use LCN instead of GNMask R-CNN R50 · COCO val2017 (minival)AP^mask (%): 34.33 -> 34.50Helped
Replace BN with LCNResnet 50 · ImageNet valTop 1 Err. (%): 23.59 -> 24.23Hurt
Replace BN with LCNU-Net · INRIA Aerial Image Labeling testOverall IoU: 67.98 -> 69.90Helped
Replace BN with LCNUNet · Maryland 2013 test tilesmIoU (%): 76.69 -> 76.51Hurt
Increase the LCN window toward the full spatial extent (ablation)HRNetV2 Small v1 · Cityscapes valmIoU Class (%): 71.77 -> 70.03Hurt
Set LCN channels per group to 4 instead of 2 (ablation)HRNetV2 W18 Small v1 · Cityscapes valmIoU Class (%): 71.77 -> 70.26Hurt
Set LCN channels per group to 8 instead of 2 (ablation)HRNetV2 W18 Small v1 · Cityscapes valmIoU Class (%): 71.77 -> 70.14Hurt
Set LCN channels per group to 16 instead of 2 (ablation)HRNetV2 W18 Small v1 · Cityscapes valmIoU Class (%): 71.77 -> 70.11Hurt

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