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

Feature Deformation Meta-Networks in Image Captioning of Novel Objects

AAAI 2020 · Detection and segmentation › Open-set and few-shot detection · approach: Zero-shot segmentation and detection · 15 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add augmented feature-text pairs from FDM-net to training (ablation)general captioning model · NOC split out-of-domain testF1: 0 -> 85.7Helped
add FDM-net augmentation (1000 pairs, MLS+SGSR+CBS) (ablation)general captioning model · NOC split out-of-domain testCIDEr: 65.2 -> 85.3Helped
add FDM-net augmentation (ablation)general captioning model · NOC split in-domain testCIDEr: 105.1 -> 105.5No clear effect
add constrained beam search at test time (ablation)FDM-net (1000 pairs) · NOC split out-of-domain testF1: 64.7 -> 85.7Helped
increase augmented pairs from 1000 to 1500 (ablation)FDM-net MLS+SGSR+CBS · NOC split out-of-domain testCIDEr: 85.3 -> 83.9Hurt
increase augmented pairs from 1000 to 1500 (ablation)FDM-net MLS+SGSR+CBS · NOC split out-of-domain testF1: 85.7 -> 87.0Helped
human preference vs NBT on word incorporationFDM-net · MSCOCO out-of-domain human evalpreference %: 50.0 vs 18.0Helped

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