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2210.07574
Cited By
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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
Re-assign community
ArXiv (abs)
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Github (183★)
Papers citing
"Is synthetic data from generative models ready for image recognition?"
50 / 265 papers shown
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243
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LRM-Zero: Training Large Reconstruction Models with Synthesized Data
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Sai Bi
Zhixin Shu
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207
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245
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Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models
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238
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Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance
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301
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Oliver Niehörster
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98
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Yujin Han
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Kai Hu
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Bhiksha Raj
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289
10
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Thanush Navaratnam
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246
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Jiafeng Mao
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238
0
0
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Yan Zhang
Yingzhe Shen
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Shuvra S. Bhattacharyya
323
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Shiyu Li
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Jiulong Shan
Huimin Ma
Jian Yuan
228
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BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation
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Yihe Tang
Lyne Tchapmi
Cem Gokmen
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Bill Lin
Christos Louizos
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280
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TI-ASU: Toward Robust Automatic Speech Understanding through Text-to-speech Imputation Against Missing Speech Modality
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Xuan Shi
Rahul Gupta
Shrikanth S. Narayanan
197
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0
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Siyou Pei
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273
11
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265
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Reinforcement Learning with Generative Models for Compact Support Sets
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128
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Zheng Yang
Chenshu Wu
Jingao Xu
Yuchong Gao
Yunhao Liu
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DiffM
213
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Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data
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Alexander Hollberg
Yinan Yu
80
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0
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Label Propagation for Zero-shot Classification with Vision-Language Models
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Yannis Kalantidis
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258
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Vishaal Udandarao
Christian Schroeder de Witt
Adhiraj Ghosh
Yash Sharma
Juil Sock
Adel Bibi
Samuel Albanie
Matthias Bethge
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705
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04 Apr 2024
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Deming Chen
241
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Multi Positive Contrastive Learning with Pose-Consistent Generated Images
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Aji Resindra Widya
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Junji Otsuka
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360
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Xin Liu
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Pengda Qin
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Guoli Jia
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Jufeng Yang
421
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Xin Dong
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Yuxin Wen
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264
6
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258
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184
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388
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DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
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387
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317
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