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VICRegL: Self-Supervised Learning of Local Visual Features

NeurIPS 2022 · Detection and segmentation › CNN features · approach: Local features and context in CNNs · 13 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add local criterion (alpha=0.75) to VICRegVICReg ResNet-50 · Pascal VOC linear seg frozenmIoU: 47.8 -> 55.9Helped
add local criterion (alpha=0.75) to VICRegVICReg ResNet-50 · ImageNet linear clstop-1 accuracy (%): 71.5 -> 70.4Hurt
add local criterion to VICRegVICReg ConvNeXt-S · ADE20k linear seg frozenmIoU: 28.6 -> 31.2Helped
add local criterion without multi-crop (ablation)VICReg ConvNeXt-S · Pascal VOC linear seg frozenmIoU: 52.9 -> 57.8Helped
add local criterion with multi-crop (ablation)VICReg ConvNeXt-S · Pascal VOC linear seg frozenmIoU: 54.4 -> 60.3Helped
decrease alpha from 1.0 to 0.5 (more local weight) (ablation)VICRegL ConvNeXt-S · ImageNet cls and Pascal VOC segtop-1 accuracy / mIoU: +3.4/+4.3/+4.6 mIoU, cls -0.2/-1.2/-2.9Mixed
add location-based matching only (ablation)VICReg ConvNeXt-S · Pascal VOC linear seg frozenmIoU: +2.9 mIoUHelped
add feature-based matching only (ablation)VICReg ConvNeXt-S · Pascal VOC linear seg frozenmIoU: +1.7 mIoUHelped
combine location- and feature-based matching (ablation)VICRegL ConvNeXt-S · Pascal VOC linear seg frozenmIoU: +4.3 mIoU over baselineHelped
keep top 20/4 matches instead of all 49/9 (ablation)VICRegL ConvNeXt-S · Pascal VOC linear seg frozenmIoU: 59.6 -> 60.3Helped
keep top 20/4 matches instead of 10/2 (ablation)VICRegL ConvNeXt-S · Pascal VOC linear seg frozenmIoU: 59.2 -> 60.3Helped
add variance term to local criterion (VI vs I) (ablation)VICRegL ConvNeXt-S · Pascal VOC linear seg frozenmIoU: 59.0 -> 58.2Hurt

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