Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/140556
Title: Human-object interaction detection
Authors: Cheng, Jiaxiang
Keywords: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Engineering::Electrical and electronic engineering
Issue Date: 2020
Publisher: Nanyang Technological University
Abstract: Human-object interaction (HOI) detection has been a trending topic in computer vision and image understanding domain. The state-of-the-art algorithms perform high accuracy on popular benchmark data sets. However, some of them lose the adaptability and significance of the general images, leading to the misalignment with the original motivation of HOI detection. Therefore, in this dissertation, the refined framework is introduced to directly conduct detection on usual images taking advantage of the current state-of-the-art, achieving satisfying performance close to that on benchmarks. Experiments and ablation studies are illustrated and analyzed to provide guidance and empirical information for practitioners to better apply the algorithm in certain scenes. In the end, some potential solutions for improvements are described for reference to future researches.
URI: https://hdl.handle.net/10356/140556
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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