ajabri / videowalk

Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

Home Page:http://ajabri.github.io/videowalk

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Other downstream tasks

vadimkantorov opened this issue · comments

@ajabri Have you tried evaluating on other downstream tasks? E.g. how do learned representations perform on object detection or instance segmentation?

Thank you!

Unfortunately, I have not yet had a chance to thoroughly investigate this, though others are beginning to report results using the CRW model for tasks like segmentation (e.g. https://arxiv.org/abs/2101.06553). This is definitely something I'd like to investigate further. I imagine there is still work to be done to close the gap with other self-sup methods that rely on more contrived learning signals like hand-tuned data aug (as done in most SOTA contrastive learning methods).

Got it. Thanks!