DocumentCode :
3748555
Title :
HICO: A Benchmark for Recognizing Human-Object Interactions in Images
Author :
Yu-Wei Chao;Zhan Wang;Yugeng He;Jiaxuan Wang;Jia Deng
fYear :
2015
Firstpage :
1017
Lastpage :
1025
Abstract :
We introduce a new benchmark "Humans Interacting with Common Objects" (HICO) for recognizing human-object interactions (HOI). We demonstrate the key features of HICO: a diverse set of interactions with common object categories, a list of well-defined, sense-based HOI categories, and an exhaustive labeling of co-occurring interactions with an object category in each image. We perform an in-depth analysis of representative current approaches and show that DNNs enjoy a significant edge. In addition, we show that semantic knowledge can significantly improve HOI recognition, especially for uncommon categories.
Keywords :
"Image recognition","Bicycles","Maintenance engineering","Benchmark testing","Semantics","Pipelines"
Publisher :
ieee
Conference_Titel :
Computer Vision (ICCV), 2015 IEEE International Conference on
Electronic_ISBN :
2380-7504
Type :
conf
DOI :
10.1109/ICCV.2015.122
Filename :
7410479
Link To Document :
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