Benchmarking the robustness of the correct identification of flexible 3D objects using common machine learning models
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True three-dimensional (3D) data are prevalent in domains such as molecular science or computer vision. In these data, machine learning models are often asked to identify objects subject to intrinsic flexibility. Our study introduces two datasets from molecula... ...
