FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing-Reference-Cited by-同舟云学术

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FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing

Published:2024-01 Issue: Volume:169 Page:398-416
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Lin Zhongqi^ORCID,Zheng Zengwei

Funder

Department of Science and Technology of Shandong Province

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Ministry of Education of the Peoples Republic of China Changjiang Scholar Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference69 articles.

1. Shape-based pedestrian parsing;Bo,2011

2. Detect what you can: Detecting and representing objects using holistic models and body parts;Chen,2014

3. Attention to scale: Scale-aware semantic image segmentation;Chen,2016

4. Encoder-decoder with atrous separable convolution for semantic image segmentation;Chen,2018

5. Composite templates for cloth modeling and sketching;Chen,2006

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