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Found 2 papers, 1 papers with code
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement
In this paper, we introduce a lightweight, user-friendly, and scalable framework that synergizes human and machine intelligence for efficient dataset validation and quality enhancement.
ViPLO: Vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection
First, we propose a novel feature extraction method suitable for the Vision Transformer backbone, called masking with overlapped area (MOA) module.
Ranked #5 on
Human-Object Interaction Detection
on HICO-DET
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