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Is synthetic data from generative models ready for image recognition?
v1v2 (latest)

Is synthetic data from generative models ready for image recognition?

International Conference on Learning Representations (ICLR), 2022
14 October 2022
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Juil Sock
Song Bai
Xiaojuan Qi
ArXiv (abs)PDFHTMLGithub (183★)

Papers citing "Is synthetic data from generative models ready for image recognition?"

15 / 265 papers shown
Title
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery
Chaofan Ma
Yu-Hao Yang
Chen Ju
Feifan Zhang
Jinxian Liu
Yu Wang
Ya Zhang
Yanfeng Wang
DiffM
193
53
0
17 Mar 2023
Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in
  Challenging Domains
Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging DomainsInternational Conference on 3D Vision (3DV), 2023
Zhenzhen Weng
Laura Bravo Sánchez
Serena Yeung-Levy
DiffM
204
3
0
16 Mar 2023
Synthetic Experience Replay
Synthetic Experience ReplayNeural Information Processing Systems (NeurIPS), 2023
Cong Lu
Philip J. Ball
Yee Whye Teh
Jack Parker-Holder
OffRL
508
109
0
12 Mar 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few LabelsNeural Information Processing Systems (NeurIPS), 2023
Zebin You
Yong Zhong
Fan Bao
Jiacheng Sun
Chongxuan Li
Jun Zhu
DiffMVLM
496
50
0
21 Feb 2023
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot
  Classification via Stable Diffusion
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
Jordan Shipard
Arnold Wiliem
Kien Nguyen Thanh
Wei Xiang
Clinton Fookes
DiffM
365
93
0
07 Feb 2023
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
DiffMVLM
446
335
0
07 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated
  Datasets
Leaving Reality to Imagination: Robust Classification via Generated Datasets
Hritik Bansal
Aditya Grover
OOD
294
111
0
05 Feb 2023
Semantic-Guided Generative Image Augmentation Method with Diffusion
  Models for Image Classification
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2023
Bohan Li
Xiao Xu
Xinghao Wang
Yutai Hou
Yunlong Feng
Feng Wang
Xuanliang Zhang
Qingfu Zhu
Wanxiang Che
DiffMVLM
188
23
0
04 Feb 2023
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using
  Text-to-Image Generators
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image GeneratorsInternational Conference on Machine Learning (ICML), 2022
Jianhao Yuan
Francesco Pinto
Adam Davies
Juil Sock
DiffM
344
17
0
21 Dec 2022
Fake it till you make it: Learning transferable representations from
  synthetic ImageNet clones
Fake it till you make it: Learning transferable representations from synthetic ImageNet clonesComputer Vision and Pattern Recognition (CVPR), 2022
Mert Bulent Sariyildiz
Alahari Karteek
Diane Larlus
Yannis Kalantidis
DiffMVLM
321
201
0
16 Dec 2022
SuS-X: Training-Free Name-Only Transfer of Vision-Language Models
SuS-X: Training-Free Name-Only Transfer of Vision-Language ModelsIEEE International Conference on Computer Vision (ICCV), 2022
Vishaal Udandarao
Ankush Gupta
Samuel Albanie
VLMMLLM
399
140
0
28 Nov 2022
Expanding Small-Scale Datasets with Guided Imagination
Expanding Small-Scale Datasets with Guided ImaginationNeural Information Processing Systems (NeurIPS), 2022
Yifan Zhang
Daquan Zhou
Bryan Hooi
Kaixin Wang
Jiashi Feng
460
65
0
25 Nov 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and ApplicationsACM Computing Surveys (ACM CSUR), 2022
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Tengjiao Wang
Ming-Hsuan Yang
DiffMMedIm
1.3K
1,855
0
02 Sep 2022
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
CLIP-Adapter: Better Vision-Language Models with Feature AdaptersInternational Journal of Computer Vision (IJCV), 2021
Shiyang Feng
Shijie Geng
Renrui Zhang
Teli Ma
Rongyao Fang
Zelong Li
Jiaming Song
Yu Qiao
VLMCLIP
1.1K
1,413
0
09 Oct 2021
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.2K
4,635
0
17 Jun 2020
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