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Meta-Auxiliary Learning for Future Depth Prediction in Videos

  • Published:2023-01 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • language:
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Author:

Liu Huan1,Chi Zhixiang1,Yu Yuanhao1,Wang Yang1,Chen Jun2,Tang Jin1

Affiliation:

1. Huawei Noah’s Ark Lab

2. McMaster University

Publisher

IEEE

Reference55 articles.

1. Unsupervised Monocular Depth Estimation with Left-Right Consistency

2. Predicting the Future: A Jointly Learnt Model for Action Anticipation

3. Recasting gradient-based meta-learning as hierarchical bayes;grant;International Conference on Learning Representations,2018

4. Digging Into Self-Supervised Monocular Depth Estimation

5. Meta-dmoe: Adapting to domain shift by meta-distillation from mixture-of-experts;zhong,2022

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1. A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts;International Journal of Computer Vision;2024-07-18

2. Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

3. Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. MetaGCD: Learning to Continually Learn in Generalized Category Discovery;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Multitask-Based Cluster Transmission for Few-Shot Text Classification;Knowledge Science, Engineering and Management;2023
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