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Found 4 papers, 3 papers with code
Polysemy Deciphering Network for Human-Object Interaction Detection
First, PD-Net augments human pose and spatial features for HOI detection using language priors, enabling the verb classifiers to receive language hints that reduce the intra-class variation of the same verb.
Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection
Our methods significantly promote both the accuracy and training efficiency of transformer-based HOI detection models.
Glance and Gaze: Inferring Action-aware Points for One-Stage Human-Object Interaction Detection
In this paper, we propose a novel one-stage method, namely Glance and Gaze Network (GGNet), which adaptively models a set of actionaware points (ActPoints) via glance and gaze steps.
Ranked #17 on
Human-Object Interaction Detection
on V-COCO
Polysemy Deciphering Network for Robust Human-Object Interaction Detection
To address this issue, in this paper, we propose a novel Polysemy Deciphering Network (PD-Net) that decodes the visual polysemy of verbs for HOI detection in three distinct ways.
Ranked #19 on
Human-Object Interaction Detection
on V-COCO
