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Deflating Dataset Bias Using Synthetic Data Augmentation

Deflating Dataset Bias Using Synthetic Data Augmentation

28 April 2020
Nikita Jaipuria
Xianling Zhang
Rohan Bhasin
Mayar Arafa
Punarjay Chakravarty
Shubham Shrivastava
Sagar Manglani
Vidya N. Murali
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Papers citing "Deflating Dataset Bias Using Synthetic Data Augmentation"

10 / 10 papers shown
Title
Layer Separation: Adjustable Joint Space Width Images Synthesis in Conventional Radiography
Layer Separation: Adjustable Joint Space Width Images Synthesis in Conventional Radiography
Haolin Wang
Yafei Ou
Prasoon Ambalathankandy
Gen Ota
Pengyu Dai
Masayuki Ikebe
Kenji Suzuki
Tamotsu Kamishima
82
0
0
04 Feb 2025
Efficacy of Synthetic Data as a Benchmark
Efficacy of Synthetic Data as a Benchmark
Gaurav Maheshwari
Dmitry Ivanov
Kevin El Haddad
SyDa
36
6
0
18 Sep 2024
Automated Program Repair: Emerging trends pose and expose problems for
  benchmarks
Automated Program Repair: Emerging trends pose and expose problems for benchmarks
J. Renzullo
Pemma Reiter
Westley Weimer
Stephanie Forrest
47
1
0
08 May 2024
Subjective Face Transform using Human First Impressions
Subjective Face Transform using Human First Impressions
Chaitanya Roygaga
Joshua Krinsky
Kai Zhang
Kenny Kwok
Aparna Bharati
CVBM
46
0
0
27 Sep 2023
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a
  Single Image using Diffusion Models
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models
D. Kothandaraman
Dinesh Manocha
Ming Lin
Dinesh Manocha
36
5
0
15 Mar 2023
An investigation of challenges encountered when specifying training data
  and runtime monitors for safety critical ML applications
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications
Hans-Martin Heyn
E. Knauss
Iswarya Malleswaran
Shruthi Dinakaran
32
4
0
31 Jan 2023
A Dataless FaceSwap Detection Approach Using Synthetic Images
A Dataless FaceSwap Detection Approach Using Synthetic Images
Anubhav Jain
Nasir D. Memon
Julian Togelius
CVBM
26
4
0
05 Dec 2022
QAGAN: Adversarial Approach To Learning Domain Invariant Language
  Features
QAGAN: Adversarial Approach To Learning Domain Invariant Language Features
Shubham Shrivastava
Kaiyue Wang
OOD
32
2
0
24 Jun 2022
The Effects of Regularization and Data Augmentation are Class Dependent
The Effects of Regularization and Data Augmentation are Class Dependent
Randall Balestriero
Léon Bottou
Yann LeCun
41
94
0
07 Apr 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
312
10,391
0
12 Dec 2018
1