v1v2 (latest)

Is synthetic data from generative models ready for image recognition?

International Conference on Learning Representations (ICLR), 2022

14 October 2022

Shuyang Sun

Xiaojuan Qi

ArXiv (abs)PDF HTML Github (183★)

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

50 / 265 papers shown

Title
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency Yannis Kalantidis Mert Bulent Sariyildiz Rafael Sampaio de Rezende Philippe Weinzaepfel Diane Larlus G. Csurka 214 0 0 14 Feb 2024
Can Text-to-image Model Assist Multi-modal Learning for Visual Recognition with Visual Modality Missing? Tiantian Feng Daniel Yang Digbalay Bose Shrikanth Narayanan 242 6 0 14 Feb 2024
Self-Correcting Self-Consuming Loops for Generative Model TrainingInternational Conference on Machine Learning (ICML), 2024 Nate Gillman Michael Freeman Daksh Aggarwal Chia-Hong Hsu Calvin Luo Yonglong Tian Chen Sun 275 22 0 11 Feb 2024
A Tale of Tails: Model Collapse as a Change of Scaling LawsInternational Conference on Machine Learning (ICML), 2024 Elvis Dohmatob Yunzhen Feng Pu Yang Francois Charton Julia Kempe 260 105 0 10 Feb 2024
Controllable seismic velocity synthesis using generative diffusion models Fu Wang Xinquan Huang T. Alkhalifah DiffM 227 22 0 09 Feb 2024
Scaling laws for learning with real and surrogate data Ayush Jain Andrea Montanari Eren Sasoglu 279 21 0 06 Feb 2024
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation Yuan Gao Haokun Chen Xiang Wang Zhicai Wang Qingsong Wen Jinyang Gao Bolin Ding 142 7 0 05 Feb 2024
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training? Hasan Hammoud Hani Itani Fabio Pizzati Juil Sock Adel Bibi Guohao Li CLIP VLM 417 56 0 02 Feb 2024
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 453 47 0 27 Jan 2024
GEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data Synthesis Jing Hao Moyun Liu Kuo Feng Hung DiffM 116 2 0 27 Jan 2024
Zero-Shot Learning for the Primitives of 3D Affordance in General ObjectsEuropean Conference on Computer Vision (ECCV), 2024 Hyeonwoo Kim Sookwan Han Patrick Kwon Hanbyul Joo DiffM 284 24 0 23 Jan 2024
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models Ziqiang Yuan Kaiyuan Wang Shoutai Zhu Ye Yuan Jingya Zhou Yanlin Zhu Wenqi Wei 193 12 0 19 Jan 2024
Low-Resource Vision Challenges for Foundation ModelsComputer Vision and Pattern Recognition (CVPR), 2024 Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 246 15 0 09 Jan 2024
Learning Vision from Models Rivals Learning Vision from DataComputer Vision and Pattern Recognition (CVPR), 2023 Yonglong Tian Lijie Fan Kaifeng Chen Dina Katabi Dilip Krishnan Phillip Isola 237 72 0 28 Dec 2023
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models Shweta Mahajan Tanzila Rahman Kwang Moo Yi Leonid Sigal DiffM 198 33 0 19 Dec 2023
Reliability in Semantic Segmentation: Can We Use Synthetic Data?European Conference on Computer Vision (ECCV), 2023 Thibaut Loiseau Tuan-Hung Vu Mickaël Chen Patrick Pérez Matthieu Cord UQCV 249 22 0 14 Dec 2023
Federated Learning Empowered by Generative Content Rui Ye Xinyu Zhu Jingyi Chai Siheng Chen Yanfeng Wang FedML 142 3 0 10 Dec 2023
GenQ: Quantization in Low Data Regimes with Generative Synthetic DataEuropean Conference on Computer Vision (ECCV), 2023 Yuhang Li Youngeun Kim Donghyun Lee Souvik Kundu Priyadarshini Panda MQ 297 6 0 07 Dec 2023
Scaling Laws of Synthetic Images for Model Training ... for Now Lijie Fan Kaifeng Chen Dilip Krishnan Dina Katabi Phillip Isola Yonglong Tian CLIP VLM 199 104 0 07 Dec 2023
Gen2Det: Generate to Detect Saksham Suri Fanyi Xiao Animesh Sinha Sean Culatana Raghuraman Krishnamoorthi Chenchen Zhu Abhinav Shrivastava VLM DiffM 253 12 0 07 Dec 2023
SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios Mushui Liu Weijie He Ziqian Lu Yunlong Yu VLM 128 2 0 06 Dec 2023
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic ControlEuropean Conference on Computer Vision (ECCV), 2023 Yuru Jia Lukas Hoyer Shengyu Huang Tianfu Wang Luc Van Gool Konrad Schindler Anton Obukhov DiffM 277 46 0 05 Dec 2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification Victor G. Turrisi da Costa Nicola Dall’Asen Yiming Wang Andrii Zadaianchuk Elisa Ricci 242 9 0 05 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 282 6 0 05 Dec 2023
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images Zhuoran Yu Chenchen Zhu Sean Culatana Raghuraman Krishnamoorthi Fanyi Xiao Yong Jae Lee 409 21 0 04 Dec 2023
Non-Visible Light Data Synthesis and Application: A Case Study for Synthetic Aperture Radar Imagery Zichen Tian Zhaozheng Chen Qianru Sun 144 1 0 29 Nov 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search Aboli Rajan Marathe VLM 189 0 0 27 Nov 2023
Efficient Dataset Distillation via Minimax DiffusionComputer Vision and Pattern Recognition (CVPR), 2023 Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 236 60 0 27 Nov 2023
On the Limitation of Diffusion Models for Synthesizing Training Datasets Shinýa Yamaguchi Takuma Fukuda 187 12 0 22 Nov 2023
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web Christian Schroeder de Witt Hasan Hammoud Ser-Nam Lim Guohao Li Juil Sock Adel Bibi CLL 306 4 0 19 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyInternational Conference on Machine Learning (ICML), 2023 Kirill Vishniakov Zhiqiang Shen Zhuang Liu CLIP 326 24 0 15 Nov 2023
Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative MiningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 U. Sahin Hang Li Qadeer Ahmad Khan Zorah Lähner Volker Tresp VLM CoGe 165 26 0 07 Nov 2023
Improving the Effectiveness of Deep Generative DataIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Ruyu Wang Sabrina Schmedding Marco F. Huber DiffM 205 5 0 07 Nov 2023
Semantic Generative Augmentations for Few-Shot CountingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Perla Doubinsky Nicolas Audebert M. Crucianu Hervé Le Borgne VLM DiffM 164 8 0 26 Oct 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation ModelsNeural Information Processing Systems (NeurIPS), 2023 Lihe Yang Xiaohan Li Bingyi Kang Yinghuan Shi Hengshuang Zhao 183 68 0 23 Oct 2023
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake AnalysisInternational Conference on Learning Representations (ICLR), 2023 Kai Chen Chunwei Wang Kuo Yang Jianhua Han Lanqing Hong ... Zhenguo Li Dit-Yan Yeung Lifeng Shang Xin Jiang Qun Liu 505 44 0 16 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution MatchingInternational Conference on Learning Representations (ICLR), 2023 Jianhao Yuan Jie Zhang Shuyang Sun Juil Sock Bo Zhao 195 44 0 16 Oct 2023
Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Zhuoyan Li Hangxiao Zhu Zhuoran Lu Ming Yin SyDa 272 132 0 11 Oct 2023
A General Protocol to Probe Large Vision Models for 3D Physical UnderstandingNeural Information Processing Systems (NeurIPS), 2023 Guanqi Zhan Chuanxia Zheng Weidi Xie Andrew Zisserman DiffM 291 24 0 10 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 375 27 0 03 Oct 2023
SYRAC: Synthesize, Rank, and Count Adrian dÁlessandro Ali Mahdavi-Amiri Ghassan Hamarneh DiffM 222 1 0 02 Oct 2023
Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association Qiyu Wu Mengjie Zhao Yutong He Lang Huang Junya Ono Hiromi Wakaki Yuki Mitsufuji 260 5 0 02 Oct 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 238 5 0 30 Sep 2023
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat Mohammad Pezeshki Florian Bordes M. Drozdzal Adriana Romero Soriano SyDa 282 30 0 29 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic SamplesAsian Conference on Machine Learning (ACML), 2023 Shinýa Yamaguchi 200 2 0 28 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Xuefeng Du Yiyou Sun Xiaojin Zhu Shouqing Yang 281 85 0 23 Sep 2023
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text PairsNeural Information Processing Systems (NeurIPS), 2023 Tiep Le Vasudev Lal Phillip Howard DiffM 256 37 0 23 Sep 2023
Pre-training on Synthetic Driving Data for Trajectory PredictionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Yiheng Li Seth Z. Zhao Chenfeng Xu Chen Tang Chenran Li Mingyu Ding Masayoshi Tomizuka Wei Zhan 230 17 0 18 Sep 2023
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data AugmentationInternational Conference on Machine Learning (ICML), 2023 Z. Zang Hao Luo Kaidi Wang Panpan Zhang F. Wang Stan. Z Li Yang You 252 8 0 10 Sep 2023
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized ImagesIEEE International Conference on Computer Vision (ICCV), 2023 Sookwan Han Hanbyul Joo 243 17 0 23 Aug 2023