Pairwise CNN-Transformer Features for Human–Object Interaction Detection

Pairwise CNN-Transformer Features for Human–Object Interaction Detection

Human–object interaction (HOI) detection aims to localize and recognize the relationship between humans and objects, which helps computers understand high-level semantics. In HOI detection, two-stage and one-stage methods have distinct advantages and disadvantages. The two-stage methods can obtain h...

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Bibliographic Details
Main Authors: Hutuo Quan, Huicheng Lai, Guxue Gao, Jun Ma, Junkai Li, Dongji Chen
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Entropy
Subjects:
computer vision
human–object interaction detection
convolutional neural network
transformer
feature fusion
Online Access:https://www.mdpi.com/1099-4300/26/3/205

Internet

https://www.mdpi.com/1099-4300/26/3/205

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