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

Deep Structured Learning for Visual Relationship Detection

AAAI 2018 · Detection and segmentation › Open-set and few-shot detection · approach: Visual relationship and scene graph detection · 59 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add object features to predicate prediction (F -> Fo) (ablation)feature-level model · VRD relationship detectionR@50: 12.96 -> 16.15Helped
add object features to predicate prediction (F -> Fo) (ablation)feature-level model · VG relationship detectionR@50: 3.90 -> 4.77Helped
add label-level prediction (F -> F+L) (ablation)F · VRD relationship detectionR@50: 12.96 -> 16.28Helped
add label-level prediction (F -> F+L) (ablation)F · VG phrase predictionprecision: 16.58 -> 26.67Helped
add label-level prediction (Fo -> Fo+L) (ablation)Fo · VRD relationship detectionR@50: 16.15 -> 17.27Helped
add label-level prediction (Fo -> Fo+L) (ablation)Fo · VG relationship detectionR@50: 4.77 -> 6.37Helped
add label-level prediction (Fo -> Fo+L) (ablation)Fo · VRD phrase predictionprecision: 35.94 -> 36.28No clear effect
add mask of training relationship typesFo+L · VRD relationship detectionR@50: 17.27 -> 17.40Helped
add mask of training relationship typesFo+L · VG relationship detectionR@50: 6.37 -> 6.82Helped
add mask of training relationship typesF · VRD relationship detectionR@50: 12.96 -> 14.85Helped
Fo+L versus RDN on relationship detectionFo+L · VRD relationship detectionR@100: 20.88 -> 18.26Hurt

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