How Much More Data Do I Need? Estimating Requirements for Downstream Tasks-Reference-Cited by-同舟云学术

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How Much More Data Do I Need? Estimating Requirements for Downstream Tasks

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Mahmood Rafid¹,Lucas James¹,Acuna David¹,Li Daiqing¹,Philion Jonah¹,Alvarez Jose M.¹,Yu Zhiding¹,Fidler Sania¹,Law Marc T.¹

Affiliation:

1. NVIDIA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880008.pdf?arnumber=9880008

Reference35 articles.

1. Learning Loss for Active Learning

2. FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

3. The shape of learning curves: a review;viering;ArXiv Preprint,2021

4. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

5. Scaling Vision Transformers

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3. Low fidelity data driven machine learning based optimisation method for box-wing configuration;Aerospace Science and Technology;2024-07

4. Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI;Frontiers in Radiology;2024-04-05

5. Too Large; Data Reduction for Vision-Language Pre-Training;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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