propagation on the DAVIS dataset (Table 1), in comparison to a SOT A3 self-supervised method [49] and the ImageNet pre-trained representation

Model J (Mean) Self-supervised, SOT A [49] 43.0 ImageNet Representation 49.4 Self-supervised, Ours 57.7 The shared affinity matrix bridges these tasks, and facilitates iterative improvements. These contributions are significant in the field of self-supervised learning. The contributions of this work are also demonstrated by our ablation study, i.e., Table 2 in the paper. We note that these components are novel and have not been explored in prior work. In the following, we address the other comments by reviewers.