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

Generating Multiple Objects at Spatially Distinct Locations

ICLR 2019 · Detection and segmentation › Open-set and few-shot detection · approach: Object-level representation learning · 30 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add object pathways and layout encodingStackGAN · MS-COCOIS: 10.62 to 12.12Helped
Add object pathways and layout encodingStackGAN · MS-COCOFID: 74.05 to 55.30Helped
Add object pathways and layout encodingAttnGAN · MS-COCOIS: 23.61 to 24.76Helped
Add object pathways and layout encodingAttnGAN · MS-COCOFID: 33.10 to 33.35No clear effect
Remove the generator layout encoding (ablation)Full model · Multi-MNISTdigit identity and location controlHurt
Remove the discriminator object pathway (ablation)Full model · Multi-MNISTdigit identity controlHurt
Remove the generator object pathway (ablation)Full model · Multi-MNISTdigit identity controlHurt
Remove both generator and discriminator object pathways (ablation)Full model · Multi-MNISTlocation and identity controlHurt
Disable the object pathway during generation (ablation)StackGAN + Object Pathways · MS-COCOobject detailHurt
Disable the global pathway during generation (ablation)StackGAN + Object Pathways · MS-COCObackground and global layoutHurt

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