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Research map / 3D vision / Face and shape

Mesh Saliency: An Independent Perceptual Measure or a Derivative of Image Saliency?

CVPR 2021 · 3D vision › Face and shape · approach: Textured mesh generation · 18 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
combine image saliency supervision, object-category supervision, and GAN alignmentMIMO-GAN · 3DVALCC: 0.226 -> 0.489Helped
combine image saliency supervision, object-category supervision, and GAN alignmentMIMO-GAN · 3DVAAUC: 0.643 -> 0.780Helped
use 24 views instead of 12MIMO-GAN · 3DVALCC: 0.451 -> 0.489Helped
use 24 views instead of 12MIMO-GAN · 3DVAAUC: 0.741 -> 0.780Helped
add object-category classification supervision (ablation)MIMO-GAN · 3DVALCC: 0.329 -> 0.489Helped
add object-category classification supervision (ablation)MIMO-GAN · 3DVAAUC: 0.699 -> 0.780Helped
add image saliency supervision (ablation)MIMO-GAN · 3DVALCC: 0.134 -> 0.489Helped
add image saliency supervision (ablation)MIMO-GAN · 3DVAAUC: 0.599 -> 0.780Helped
add discriminator and GAN losses (ablation)MIMO-GAN · 3DVALCC: 0.477 -> 0.489Helped
add discriminator and GAN losses (ablation)MIMO-GAN · 3DVAAUC: 0.763 -> 0.780Helped
use image saliency supervision instead of relying only on object categories (ablation)MIMO-GAN · 3DVALCC: 0.134 -> 0.329Helped
use view-independent saliency predictionMIMO-GAN · Schelling, σ = 0.14BLCC: 0.454 -> 0.470Helped

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