Anti-Occlusion Infrared Aerial Target Recognition With Multisemantic Graph Skeleton Model
Author:
Affiliation:
1. School of Astronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China
2. Xi’an Aerospace Precision Electromechanical Research Institute, Xi’an, Shaanxi, China
Funder
National Natural Science Foundation of China
Chinese Aeronautical Establishment
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09875338.pdf?arnumber=9875338
Reference57 articles.
1. OpenPose: Realtime multi-person 2D pose estimation using part affinity fields;cao;arXiv 1812 08008,2018
2. Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification
3. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
4. Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
5. Graph neural networks for 3D multi-object tracking;weng;arXiv 2008 09506,2020
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3. Two-Stage Spatio-Temporal Feature Correlation Network for Infrared Ground Target Tracking;IEEE Transactions on Geoscience and Remote Sensing;2024
4. MF-GCN: Motion Flow-Based Graph Network Learning Dynamics for Aerial IR Target Recognition;IEEE Transactions on Aerospace and Electronic Systems;2023
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