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Research map / Detection and segmentation / Open-set and few-shot detection

Object-Centric Image Generation from Layouts

AAAI 2021 · Detection and segmentation › Open-set and few-shot detection · approach: Object-centric learning theory and video · 78 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add scene-graph similarity supervision (SGSM) (ablation)OC-GAN · COCO-Stuff, 64×64FID: 34.32 -> 29.57Helped
add scene-graph similarity supervision (SGSM) (ablation)OC-GAN · COCO-Stuff, 64×64CA: 52.57 -> 60.27Helped
add the object discriminator (ablation)OC-GAN · COCO-Stuff, 64×64CA: 48.03 -> 60.27Helped
add patch discriminators (ablation)OC-GAN · COCO-Stuff, 64×64FID: 33.85 -> 29.57Helped
add patch discriminators (ablation)OC-GAN · COCO-Stuff, 64×64CA: 62.48 -> 60.27Hurt
use two patch discriminators instead of one (ablation)OC-GAN · COCO-Stuff, 64×64FID: 30.54 -> 29.57Helped
add bounding-box instance boundaries to conditioning (ablation)OC-GAN · COCO-Stuff, 64×64FID: 30.12 -> 29.57Helped
add bounding-box instance boundaries to conditioning (ablation)OC-GAN · COCO-Stuff, 64×64CA: 59.54 -> 60.27Helped
add perceptual loss (ablation)OC-GAN · COCO-Stuff, 64×64FID: 31.14 -> 29.57Helped
add perceptual loss (ablation)OC-GAN · COCO-Stuff, 64×64CA: 57.22 -> 60.27Helped
add SGSM when perceptual loss is absent (ablation)OC-GAN without perceptual loss · COCO-Stuff, 64×64FID: 36.54 -> 31.14Helped
add SGSM when perceptual loss is absent (ablation)OC-GAN without perceptual loss · COCO-Stuff, 64×64CA: 47.94 -> 57.22Helped

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