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Research map / Detection and segmentation / CNN features

Correspondence Networks With Adaptive Neighbourhood Consensus

CVPR 2020 · Detection and segmentation › CNN features · approach: Local features and context in CNNs · 76 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use ANC-Net instead of HPF ResNet-101-FCNPF-PASCAL · PF-PASCALPCK@0.1: 88.3 -> 88.7Helped
use ANC-Net instead of DCCNetCUB · CUBPCK@0.1: 66.1 -> 74.1Helped
use ANC-Net instead of HPF ResNet-101Spair-71k · Spair-71kPCK@0.1: 28.2 -> 30.1Helped
replace isotropic 4D kernels with adaptive non-isotropic ANC kernels (ablation)ANC-Net · PF-PASCALPCK@0.1: 84.1 -> 86.1Helped
add multi-scale self-similarity (ablation)ANC-Net · PF-PASCALPCK@0.1: 84.3 -> 86.1Helped
add orthogonal loss (ablation)ANC-Net · PF-PASCALPCK@0.1: 85.9 -> 86.1Helped
use ANC-d rather than ANC-b (ablation)ANC-Net · PF-PASCALPCK@0.1: 82.7 -> 86.1Helped
use ANC-d rather than ANC-c (ablation)ANC-Net · PF-PASCALPCK@0.1: 83.8 -> 86.1Helped
replace ResNet-101 backbone with ResNeXt-101ANC-Net · PF-PASCALPCK@0.1: 86.1 -> 88.7Helped
replace ResNet-101 backbone with ResNeXt-101ANC-Net · CUBPCK@0.1: 72.4 -> 74.1Helped
replace ResNet-101 backbone with ResNeXt-101ANC-Net · Spair-71kPCK@0.1: 28.7 -> 30.1Helped

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