KITTI-Masks
Introduced by Klindt et al. in Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
This Dataset consists of 2120 sequences of binary masks of pedestrians. The sequence length varies between 2-710. For details, we refer to our paper. It is based on the original KITTI Segmentation challenge which can be found at https://www.vision.rwth-aachen.de/page/mots
A detailed description can be found at: https://openreview.net/pdf?id=EbIDjBynYJ8
An example dataloader can be found at: https://github.com/bethgelab/slow_disentanglement/
Papers
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