CraterBench-R is a new retrieval benchmark where self-supervised ViTs with a training-free instance-token aggregation method achieve high accuracy for identifying individual craters while reducing storage needs.
A global catalog of mar- tian impact craters with actual boundaries and degradation states.International Journal of Applied Earth Observation and Geoinformation, 131:103952, 2024
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CraterBench-R: Instance-Level Crater Retrieval for Planetary Scale
CraterBench-R is a new retrieval benchmark where self-supervised ViTs with a training-free instance-token aggregation method achieve high accuracy for identifying individual craters while reducing storage needs.