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DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection

AAAI 2021 · Detection and segmentation › Open-set and few-shot detection · approach: Human-object interaction detection · 51 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use dense interaction regions with votingDIRV · V-COCOmAP_role: 51.8 -> 56.1Helped
use dense interaction regions with votingDIRV · HICO-DET Default FullmAP: 21.73 -> 21.78Helped
decrease t_h and t_o from 0.5 to 0.25 (ablation)DIRV interaction-region selection · V-COCOmAP_role: 55.0 -> 55.2Helped
decrease t_u from 0.5 to 0.25 (ablation)DIRV interaction-region selection · V-COCOmAP_role: 55.2 -> 56.1Helped
retain overlapping interaction regions for voting instead of suppressing them with NMS (ablation)DIRV · V-COCOmAP_roleHelped
replace ignorance loss with focal loss (ablation)DIRV interaction classification · V-COCOmAP_role: 56.1 -> 54.8Hurt
replace ignorance loss with foreground loss (ablation)DIRV interaction classification · V-COCOmAP_role: 56.1 -> 54.0Hurt
remove the interaction detector and set its fused score to 1 (ablation)DIRV · V-COCOmAP_role: -15.5 mAPHurt
remove human and object instance classification scores (ablation)DIRV · V-COCOmAP_role: 56.1 -> 53.6Hurt
remove human and object instance action scores (ablation)DIRV · V-COCOmAP_role: 56.1 -> 53.8Hurt
remove the interaction detector fused score (ablation)DIRV · V-COCOmAP_role: 56.1 -> 40.6Hurt
use EfficientDet-d1 instead of EfficientDet-d3 (ablation)DIRV · V-COCOmAP_role: 56.1 -> 46.8Hurt

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