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Large vision language models (LVLMs) often suffer from object hallucination, producing objects not present in the given images.
Diagnosing error in object detectors
Derek Hoiem, Yodsawalai Chodpathumwan, and Qieyun Dai. 2012 · 2012
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014 · 2014
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Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba. 2017 · 2017
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Holger Caesar, Jasper Uijlings, and Vittorio Ferrari. 2018 · 2018
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Object hallucination in image captioning
Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, and Kate Saenko. 2018 · 2018
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Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, et al. 2022 · 2022
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Tao Gong, Chengqi Lyu, Shilong Zhang, Yudong Wang, Miao Zheng, Qian Zhao, Kuikun Liu, Wenwei Zhang, Ping Luo, and Kai Chen. 2023 · 2023
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Hongyu Hu, Jiyuan Zhang, Minyi Zhao, and Zhenbang Sun. 2023 · 2023
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Liqiang Jing, Ruosen Li, Yunmo Chen, Mengzhao Jia, and Xinya Du. 2023 · 2023
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Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, and Jiaya Jia. 2023 · 2023
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Negative object presence evaluation (nope) to measure object hallucination in vision-language models
Holy Lovenia, Wenliang Dai, Samuel Cahyawijaya, Ziwei Ji, and Pascale Fung. 2023 · 2023
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Ziqiao Ma, Jiayi Pan, and Joyce Chai. 2023 · 2023
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Scaffolding coordinates to promote vision-language coordination in large multi-modal models
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