nice
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…
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
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…
will be online soon.
nice
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…
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
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…
will be online soon.