Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images - researchr publication authors

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Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente. Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022. pages 1321-1331, IEEE, 2022. [doi]

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