SSCBench
Introduced by Li et al. in SSCBench: Monocular 3D Semantic Scene Completion Benchmark in Street Views
SSCBench establishes a large-scale SSC benchmark in street views that facilitates the training of robust and generalizable SSC models. Overall, SSCBench consists of three subsets, including 38,562 frames for training, 15,798 frames for validation, and 12,553 frames for testing respectively, amounting totally to 66,913 frames.
Papers
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