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Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning

AAAI 2022 · Video › Video segmentation and tracking · approach: Stochastic video prediction · 3 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add knowledge reasoning from commonsense sequences of static relationships (ablation)Image-to-video scene graph generation · VidVRDdynamic relationship tagging P@1: 0.00 -> 13.64Helped
Add knowledge reasoning from commonsense sequences of static relationships (ablation)Image-to-video scene graph generation · VidORdynamic relationship tagging P@1: 0.00 -> 7.77Helped
Add hierarchical adversarial learning at image and instance levels (ablation)Image-to-video scene graph generation · VidVRDobject detection mAP: 36.70 -> 49.40Helped
Add hierarchical adversarial learning at image and instance levels (ablation)Image-to-video scene graph generation · VidORobject detection mAP: 20.42 -> 28.13Helped
Add image-level adversarial learning (ablation)Image-to-video scene graph generation · VidVRDobject detection mAP: 45.17 -> 49.40Helped
Add instance-level adversarial learning (ablation)Image-to-video scene graph generation · VidVRDobject detection mAP: 41.29 -> 49.40Helped
Add image-level adversarial learning (ablation)Image-to-video scene graph generation · VidORobject detection mAP: 26.52 -> 28.13Helped
Add instance-level adversarial learning (ablation)Image-to-video scene graph generation · VidORobject detection mAP: 27.69 -> 28.13Helped
Use image-trained VidVRD method rather than the proposed image-to-video methodVideo scene graph generation · VidVRDdynamic relationship tagging P@1: 13.64 -> 0.00Hurt

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