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Ensemble convolutional neural networks for pose estimation

  • Published:2018-04 Issue: Volume:169 Page:62-74
  • ISSN:1077-3142
  • Container-title:Computer Vision and Image Understanding
  • language:en
  • Short-container-title:Computer Vision and Image Understanding

Author:

Kawana Yuki,Ukita Norimichi,Huang Jia-Bin,Yang Ming-Hsuan

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference60 articles.

1. Adaptive multi-column deep neural networks with application to robust image denoising;Agostinelli,2013

2. 2d human pose estimation: new benchmark and state of the art analysis;Andriluka,2014

3. Pictorial structures revisited: people detection and articulated pose estimation;Andriluka,2009

4. A study of parts-based object class detection using complete graphs;Bergtholdt;Int. J. Comput. Vis. (IJCV),2010

5. Detecting people using mutually consistent poselet activations;Bourdev,2010

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1. Active Transfer Learning for Efficient Video-Specific Human Pose Estimation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

2. Upper Bounds for Localization Errors in 2D Human Pose Estimation;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

3. Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

4. Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks;Information Processing & Management;2022-05

5. An anchor-free object detector based on soften optimized bi-directional FPN;Computer Vision and Image Understanding;2022-04
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