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license: apache-2.0 |
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# Community Contributed Page: OVEN and InfoSeek |
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## OVEN: Open-domain Visual Entity Recognition |
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- **Project Page:** [https://open-vision-language.github.io/oven/](https://open-vision-language.github.io/oven/) |
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- **Github:** [https://github.com/edchengg/oven_eval](https://github.com/edchengg/oven_eval) |
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# InfoSeek: Visual Information-Seeking Question Answering |
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- **Project Page:** [https://open-vision-language.github.io/infoseek/](https://open-vision-language.github.io/infoseek/) |
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- **Github:** [https://github.com/edchengg/infoseek_eval](https://github.com/edchengg/infoseek_eval) |
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**Reference:** |
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```bibtex |
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@article{hu2023open, |
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title={Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities}, |
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author={Hu, Hexiang and Luan, Yi and Chen, Yang and Khandelwal, Urvashi and Joshi, Mandar and Lee, Kenton and Toutanova, Kristina and Chang, Ming-Wei}, |
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journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, |
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year={2023} |
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} |
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@article{chen2023infoseek, |
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title={Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?}, |
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author={Chen, Yang and Hu, Hexiang and Luan, Yi and Sun, Haitian and Changpinyo, Soravit and Ritter, Alan and Chang, Ming-Wei}, |
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journal={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)}, |
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year={2023} |
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} |
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``` |
