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CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation

AAAI 2020 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Weakly supervised semantic segmentation · 214 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add cross-image affinity trained with cross-entropy loss (ablation)CIAN with self-affinity baseline · Pascal VOC 2012 valmIoU: 58.3 -> 59.1Helped
Add completion loss to cross-image representations (ablation)CIAN with cross-entropy loss · Pascal VOC 2012 valmIoU: 59.1 -> 62.5Helped
Add the retraining strategy (ablation)CIAN with completion loss · Pascal VOC 2012 valmIoU: 62.5 -> 64.3Helped
Use common-class instead of random-class image pairs (ablation)CIAN with cross-entropy loss · Pascal VOC 2012 valmIoU: 58.5 -> 59.1Helped
Use common-class instead of random-class image pairs (ablation)CIAN with completion loss · Pascal VOC 2012 valmIoU: 59.7 -> 62.5Helped
Add CIAN when 5% of training seeds are replaced with ground truth (ablation)Segmentation baseline · Pascal VOC 2012 val, CRF, seed substitution 0.05mIoU: + 4.4Helped
Add CIAN when 10% of training seeds are replaced with ground truth (ablation)Segmentation baseline · Pascal VOC 2012 val, CRF, seed substitution 0.10mIoU: + 5.1Helped

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