Supplementary Material for Mask Propagation for Efficient Video Semantic Segmentation

Mohamed bin Zayed University of AI We organize our supplementary material as follows: In Section A, we present more analytical results on VSPW dataset. In Section B, we provide more ablation studies on Cityscapes dataset. In Section D, we provide computational cost analysis and training details. In Section E, we provide comparison with bi-directional optical flow. This observation demonstrates that our mask propagation framework implicitly captures the long-range temporal relationships among video frames.