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FMix: Enhancing Mixed Sample Data Augmentation

FMix: Enhancing Mixed Sample Data Augmentation

27 February 2020
Ethan Harris
Antonia Marcu
Matthew Painter
M. Niranjan
Adam Prugel-Bennett
Jonathon S. Hare
    AAML
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Papers citing "FMix: Enhancing Mixed Sample Data Augmentation"

5 / 5 papers shown
Title
Nonlinear Transformations Against Unlearnable Datasets
Nonlinear Transformations Against Unlearnable Datasets
T. Hapuarachchi
Jing Lin
Kaiqi Xiong
Mohamed Rahouti
Gitte Ost
28
1
0
05 Jun 2024
On Pitfalls of Measuring Occlusion Robustness through Data Distortion
On Pitfalls of Measuring Occlusion Robustness through Data Distortion
Antonia Marcu
28
0
0
24 Nov 2022
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic
  Segmentation
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
Li Gao
Jing Zhang
Lefei Zhang
Dacheng Tao
29
85
0
20 Jul 2021
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
24
330
0
15 Jul 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge
  Distillation
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation
Deepan Das
Haley Massa
Abhimanyu Kulkarni
Theodoros Rekatsinas
21
18
0
06 Jun 2020
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