ResearchTrend.AI
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
v1v2v3 (latest)

SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems

Moon Ye-Bin
Nam Hyeon-Woo
Wonseok Choi
Nayeong Kim
Suha Kwak
Tae-Hyun Oh
ArXiv (abs)PDFHTML

Papers citing "SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems"

4 / 4 papers shown
Title
Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification
Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification
GaYeon Koh
Hyun-Jic Oh
Jeonghyun Noh
Won-Ki Jeong
DiffM
50
0
0
02 Jun 2025
Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis
Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis
Alexandra G. Roberts
Ha Luu
Mert Sisman
A. Dimov
Ceren Tozlu
I. Kovanlikaya
S. Gauthier
Thanh D. Nguyen
Yi Wang
MedIm
26
0
0
29 May 2025
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Zilin Du
Haoxin Li
Jianfei Yu
Boyang Li
498
0
0
01 Dec 2024
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Zilin Du
Haoxin Li
Xu Guo
Boyang Li
91
1
0
05 Dec 2023

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.