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Occlusions for Effective Data Augmentation in Image Classification

Occlusions for Effective Data Augmentation in Image Classification

23 October 2019
Ruth C. Fong
Andrea Vedaldi
ArXivPDFHTML

Papers citing "Occlusions for Effective Data Augmentation in Image Classification"

3 / 3 papers shown
Title
Improving Data-Efficient Fossil Segmentation via Model Editing
Improving Data-Efficient Fossil Segmentation via Model Editing
Indu Panigrahi
Ryan Manzuk
A. Maloof
Ruth C. Fong
19
1
0
08 Oct 2022
Time to augment self-supervised visual representation learning
Time to augment self-supervised visual representation learning
A. Aubret
M. Ernst
Céline Teulière
Jochen Triesch
36
10
0
27 Jul 2022
Improved anomaly detection by training an autoencoder with skip
  connections on images corrupted with Stain-shaped noise
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise
Anne-Sophie Collin
Christophe De Vleeschouwer
29
85
0
29 Aug 2020
1