This dataset does not exist: training models from generated images

7 November 2019

Papers citing "This dataset does not exist: training models from generated images"

50 / 61 papers shown

Title
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data Haoxin Li Boyang Li CoGe 193 1 0 03 Mar 2025
Does Training on Synthetic Data Make Models Less Robust? Lingze Zhang Ellie Pavlick SyDa 172 0 0 11 Feb 2025
Dataset Augmentation by Mixing Visual Concepts Abdullah Al Rahat Hemanth Venkateswara DiffM 116 0 0 19 Dec 2024
Training Data Synthesis with Difficulty Controlled Diffusion Model Zerun Wang Jiafeng Mao Xueting Wang Toshihiko Yamasaki DiffM 122 0 0 27 Nov 2024
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models Guangxi Li Yinsheng Song Mingkai Zheng 77 0 0 29 Aug 2024
DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning Tobias Lingenberg Markus Reuter Gopika Sudhakaran Dominik Gojny Stefan Roth Simone Schaub-Meyer DiffM 114 3 0 26 Aug 2024
A Simple Background Augmentation Method for Object Detection with Diffusion Model Yuhang Li Jun Gao Chen Chen Yue Zhang Jielei Zhang DiffM 82 5 0 01 Aug 2024
Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks Eugenio Lomurno Matteo Matteucci MedIm 76 3 0 22 Jul 2024
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs Sumeyye Bas Kıymet Kaya Resul Tugay Ş. Öğüdücü 43 0 0 20 Jul 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation Eyal Michaeli Ohad Fried 114 1 0 20 Jun 2024
WarCov -- Large multilabel and multimodal dataset from social platform Weronika Borek-Marciniec P. Zyblewski Jakub Klikowski Pawel Ksieniewicz 86 0 0 10 Jun 2024
Contrastive Learning from Synthetic Audio Doppelgängers Manuel Cherep Nikhil Singh 114 1 0 09 Jun 2024
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data Zerun Wang Jiafeng Mao Liuyu Xiang Toshihiko Yamasaki 84 0 0 27 May 2024
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection Bhawesh Kumar Jonathan Amar Eric Yang Nan Li Yugang Jia 58 4 0 09 May 2024
Future-Proofing Class-Incremental Learning Quentin Jodelet Xin Liu Yin Jun Phua Tsuyoshi Murata VLM 156 2 0 04 Apr 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization Yuhang Li Xin Dong Chen Chen Jingtao Li Yuxin Wen Michael Spranger Lingjuan Lyu DiffM 73 5 0 28 Mar 2024
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion Shuai Xiang Pieter M. Blok James Burridge Haozhou Wang Wei Guo 105 0 0 27 Mar 2024
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 109 6 0 22 Mar 2024
Do Generated Data Always Help Contrastive Learning? Yifei Wang Jizhe Zhang Yisen Wang DiffM 96 26 0 19 Mar 2024
Transfer learning with generative models for object detection on limited datasets Matteo Paiano Stefano Martina Carlotta Giannelli Filippo Caruso 69 5 0 09 Feb 2024
NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation Casimir Feldmann Niall Siegenheim Nikolas Hars Lovro Rabuzin Mert Ertugrul Luca Wolfart Marc Pollefeys Z. Bauer Martin R. Oswald 70 4 0 08 Jan 2024
Reliability in Semantic Segmentation: Can We Use Synthetic Data? Thibaut Loiseau Tuan-Hung Vu Mickaël Chen Patrick Pérez Matthieu Cord UQCV 87 15 0 14 Dec 2023
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data Yuhang Li Youngeun Kim Donghyun Lee Souvik Kundu Priyadarshini Panda MQ 107 2 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 64 1 0 06 Dec 2023
Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing Yushi Lan Feitong Tan Di Qiu Qiangeng Xu Kyle Genova ... S. Fanello Rohit Pandey Thomas Funkhouser Chen Change Loy Yinda Zhang 3DGS 84 18 0 05 Dec 2023
Do text-free diffusion models learn discriminative visual representations? Soumik Mukhopadhyay M. Gwilliam Yosuke Yamaguchi Vatsal Agarwal Namitha Padmanabhan Archana Swaminathan Dinesh Manocha Abhinav Shrivastava DiffM 134 14 1 29 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 103 35 0 27 Nov 2023
Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization Elior Benarous Sotiris Anagnostidis Luca Biggio Thomas Hofmann 74 3 0 10 Nov 2023
Improving the Effectiveness of Deep Generative Data Ruyu Wang Sabrina Schmedding Marco F. Huber DiffM 74 4 0 07 Nov 2023
Semantic Generative Augmentations for Few-Shot Counting Perla Doubinsky Nicolas Audebert M. Crucianu Hervé Le Borgne VLM DiffM 88 4 0 26 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution Matching Jianhao Yuan Jie Zhang Shuyang Sun Philip Torr Bo Zhao 85 27 0 16 Oct 2023
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations Zhuoyan Li Hangxiao Zhu Zhuoran Lu Ming Yin SyDa 120 82 0 11 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 109 20 0 03 Oct 2023
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation Z. Zang Hao Luo Kaidi Wang Panpan Zhang F. Wang Stan. Z Li Yang You 87 5 0 10 Sep 2023
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images Sookwan Han Hanbyul Joo 109 15 0 23 Aug 2023
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks David Junhao Zhang Mutian Xu Chuhui Xue Wenqing Zhang Xiaoguang Han Song Bai Mike Zheng Shou DiffM 131 6 0 13 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation Marwane Hariat Olivier Laurent Rémi Kazmierczak Shihao Zhang Andrei Bursuc Angela Yao Gianni Franchi UQCV 79 2 0 01 Aug 2023
Benchmarking and Analyzing Generative Data for Visual Recognition Yue Liu Haotian Liu Liangyu Chen Yong Jae Lee Cuiping Li Ziwei Liu EGVM VLM 46 4 0 25 Jul 2023
Class-Incremental Learning using Diffusion Model for Distillation and Replay Quentin Jodelet Xin Liu Yin Jun Phua T. Murata DiffM 78 31 0 30 Jun 2023
Toward Understanding Generative Data Augmentation Chenyu Zheng Guoqiang Wu Chongxuan Li 96 31 0 27 May 2023
Bridging the Gap: Enhancing the Utility of Synthetic Data via Post-Processing Techniques A. Lampis Eugenio Lomurno Matteo Matteucci 75 7 0 17 May 2023
Image retrieval outperforms diffusion models on data augmentation Max F. Burg F. Wenzel Dominik Zietlow Max Horn Osama Makansi Francesco Locatello Chris Russell VLM DiffM 108 17 0 20 Apr 2023
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models Weijia Wu Yuzhong Zhao Mike Zheng Shou Hong Zhou Chunhua Shen 137 148 0 21 Mar 2023
Instance-Conditioned GAN Data Augmentation for Representation Learning Pietro Astolfi Arantxa Casanova Jakob Verbeek Pascal Vincent Adriana Romero Soriano M. Drozdzal 80 6 0 16 Mar 2023
ODIN: On-demand Data Formulation to Mitigate Dataset Lock-in SP Choi Jihun Lee HyeongSeok Ahn Sanghee Jung Bumsoo Kang VLM 52 0 0 13 Mar 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 283 42 0 21 Feb 2023
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 108 77 0 07 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov DiffM VLM 116 257 0 07 Feb 2023
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones Mert Bulent Sariyildiz Alahari Karteek Diane Larlus Yannis Kalantidis DiffM VLM 108 161 0 16 Dec 2022
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion Yushi Lan Xuyi Meng Shuai Yang Chen Change Loy Bo Dai 3DH 3DV 99 31 0 14 Dec 2022