Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation-Reference-Cited by-同舟云学术

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Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation

Published:2022-04-27 Issue: Volume: Page:
ISSN:
Container-title:2022 31st Conference of Open Innovations Association (FRUCT)
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Author:

Joshi Manoj¹,Pant Dibakar Raj¹,Karn Rupesh Raj²,Heikkonen Jukka³,Kanth Rajeev⁴

Affiliation:

1. Institute of Engineering,Nepal

2. Khalifa University,Abu Dhabi,UAE

3. University of Turku,Turku,Finland

4. Savonia University of Applied Sciences,Kuopio,Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9770852/9770880/09770932.pdf?arnumber=9770932

Reference45 articles.

1. Automatic facial expression analysis;baltrusaitis;PhD thesis,2014

2. Few-Shot Adaptive Gaze Estimation

3. Deep Head Pose: Gaze-Direction Estimation in Multimodal Video

4. Real-Time Head Orientation from a Monocular Camera Using Deep Neural Network

5. Gradient-based learning applied to document recognition

Cited by 3 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. Attention-Guided Huber Loss for Head Pose Estimation Based on Improved Capsule Network;Entropy;2023-07-05

2. Components of education 4.0 in open innovation competence frameworks: Systematic review;Journal of Open Innovation: Technology, Market, and Complexity;2023-06

3. One, Five, and Ten-Shot-Based Meta-Learning for Computationally Efficient Head Pose Estimation;International Journal of Embedded and Real-Time Communication Systems;2023-01-27

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