IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances-Reference-Cited by-同舟云学术

IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances

Published:2023-09 Issue: Volume:226 Page:120247
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Lin Zhongqi^ORCID,Wang Yuan,Zheng Zengwei,Jia Jingdun,Gao Wanlin

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

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference68 articles.

1. Salient object detection: A benchmark;Borji;IEEE Transactions on Image Processing,2015

2. D2Det: towards high quality object detection and instance segmentation;Cao;IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2020

3. End-to-end object detection with transformers;Carion,2020

4. Harmonizing transferability and discriminability for adapting object detectors;Chen;IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2020

5. Intelligent visual media processing: When graphics meets vision;Cheng;Journal of Computer Science and Technology,2017

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing;Expert Systems with Applications;2024-08

2. FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing;Neural Networks;2024-06

3. A coarse-to-fine pattern parser for mitigating the issue of drastic imbalance in pixel distribution;Pattern Recognition;2024-04

4. FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing;Neural Networks;2024-01

5. CtFPPN: A coarse-to-fine pattern parser for dealing with distribution imbalance of pixels;Knowledge-Based Systems;2023-11