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# Links
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**Paper**: https://arxiv.org/pdf/2410.22048v1
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# Citation
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If you find the work useful, please include the following
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J. Quesada∗, Z. Fowler∗, M. Alotaibi, M. Prabhushankar, and G. AlRegib, ”Benchmarking Human and Automated Prompting in the Segment Anything Model”, In IEEE International Conference on Big Data 2024, Washington DC, USA
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# Links
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**Associated Website**: https://alregib.ece.gatech.edu/software-and-datasets/pointprompt-a-visual-prompting-dataset-based-on-the-segment-anything-model/
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**More work from our Lab**: https://alregib.ece.gatech.edu/
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**Paper**: https://arxiv.org/pdf/2410.22048v1
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# Citation
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If you find the work useful, please include the following citations in your work:
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```
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J. Quesada∗, Z. Fowler∗, M. Alotaibi, M. Prabhushankar, and G. AlRegib, ”Benchmarking Human and Automated Prompting in the Segment Anything Model”, In IEEE International Conference on Big Data 2024, Washington DC, USA
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```
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Jorge Quesada, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan Alregib; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 1604-1610
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```
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