A Survey of Visual Affordance Recognition Based on Deep Learning-Reference-Cited by-同舟云学术

A Survey of Visual Affordance Recognition Based on Deep Learning

Published:2023-12 Issue:6 Volume:9 Page:1458-1476
ISSN:2332-7790
Container-title:IEEE Transactions on Big Data
language:
Short-container-title:IEEE Trans. Big Data

Author:

Chen Dongpan¹^ORCID,Kong Dehui¹^ORCID,Li Jinghua¹^ORCID,Wang Shaofan¹^ORCID,Yin Baocai¹^ORCID

Affiliation:

1. Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, Beijing, China

Funder

National Key Research and Development Project of China

National Natural Science Foundation of China

Beijing Outstanding Young Scientists Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/6687317/10314842/10171410.pdf?arnumber=10171410

Reference166 articles.

1. Object-based affordances detection with Convolutional Neural Networks and dense Conditional Random Fields

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4. Faster R-CNN: Towards real-time object detection with region proposal networks;ren;Proc Adv Neural Inf Process Syst,2015

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