weidi_xie

4 ms·

1. 1.▲
   by weidi_xie 5y ago

   nice
2. 2.▲
   by weidi_xie 5y ago

   Indeed, the only difference is they work on RGB space, and the dataset is a bit toy-ish (no offence), as the networks simply need to separate the objects either by color, or a regular texture pattern. What proposed in this motion grouping p
3. 3.▲
   by weidi_xie 5y ago

   The time for computing optical flow is indeed a bottleneck, and some researchers in the community is working on that: - https://arxiv.org/abs/2103.04524 - https://arxiv.org/pdf/2103.17271.pdf
4. 4.▲
   by weidi_xie 5y ago

   If you check the Table 3, you can see the comparison with some of the top unsupervised video segmentation model, trained with supervised learning, eg. COSNet, MATNet. They perform reasonably well on MoCA, but they were all trained with mass
5. 5.▲
   by weidi_xie 5y ago

   will be online soon.