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Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen
  Classification from Microscopic Images

Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images

18 November 2023
Nam Cao
O. Saukh
ArXivPDFHTML

Papers citing "Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images"

3 / 3 papers shown
Title
An Empirical Study on Distribution Shift Robustness From the Perspective
  of Pre-Training and Data Augmentation
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation
Ziquan Liu
Yi Tian Xu
Yuanhong Xu
Qi Qian
Hao Li
Rong Jin
Xiangyang Ji
Antoni B. Chan
OOD
45
14
0
25 May 2022
Convolutional Neural Networks Are Not Invariant to Translation, but They
  Can Learn to Be
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be
Valerio Biscione
J. Bowers
OOD
65
32
0
12 Oct 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
261
36,371
0
25 Aug 2016
1