Improving Fractal Pre-training-Reference-Cited by-同舟云学术

Improving Fractal Pre-training

Published:2022-01 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Anderson Connor¹,Farrell Ryan¹

Affiliation:

1. Brigham Young University

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9706406/9706408/09706676.pdf?arnumber=9706676

Reference39 articles.

1. Rethinking Pretraining and Self-training;zoph;NeurIPS,2020

2. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

3. Image Representations Learned With Unsupervised Pre-Training Contain Humanlike Biases;steed;FAccT 2021 - Proceedings of the 2021 ACM Conference on Fairness Accountability and Transparency,2020

4. Gland segmentation in colon histology images: The glas challenge contest

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