SOTAVerified

Human-Object Interaction Detection

Human-Object Interaction (HOI) detection is a task of identifying "a set of interactions" in an image, which involves the i) localization of the subject (i.e., humans) and target (i.e., objects) of interaction, and ii) the classification of the interaction labels.

Papers

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Showing 1–10 of 449 papers

TitleStatusHype
RoHOI: Robustness Benchmark for Human-Object Interaction DetectionCode0
Bilateral Collaboration with Large Vision-Language Models for Open Vocabulary Human-Object Interaction DetectionCode0
VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and CollisionsCode2
HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions—0
On the Robustness of Human-Object Interaction Detection against Distribution Shift—0
Egocentric Human-Object Interaction Detection: A New Benchmark and Method—0
InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions—0
HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation—0
HOI-PAGE: Zero-Shot Human-Object Interaction Generation with Part Affordance Guidance—0
Zero-Shot Temporal Interaction Localization for Egocentric VideosCode1
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All datasetsHICO-DETV-COCOHICOVidHOIAmbiguious-HOIMECCANO

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Ours (PViC+)mAP46.49—Unverified
2RLIPv2 (Swin-L)mAP45.09—Unverified
3PViC-SwinLmAP44.32—Unverified
4SOV-STG (Swin-L)mAP43.35—Unverified
5DiffHOImAP41.5—Unverified
6ViPLOmAP37.22—Unverified
7FGAHOImAP37.18—Unverified
8ERNetmAP36.89—Unverified
9CQL+GEN-VLKT-LmAP36.03—Unverified
10QAHOI (Swin-L)mAP35.78—Unverified