UNINEXT
unimatch
| UNINEXT | unimatch | |
|---|---|---|
| 2 | 1 | |
| 1,443 | 894 | |
| - | 4.6% | |
| 5.5 | 3.5 | |
| 10 months ago | 25 days ago | |
| Python | Python | |
| MIT License | MIT License |
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UNINEXT
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[R] Universal Instance Perception as Object Discovery and Retrieval (Video Demo)
Hi, we have uploaded the complete paper (https://github.com/MasterBin-IIAU/UNINEXT/blob/master/assets/UNINEXT_Paper.pdf) to our repo. You can find more details in the paper :) About the first question, the input videos are NOT segmented aforehand and all target masks are predicted by our UNINEXT model. For SOT and VOS, we use target annotations (box or mask) from the first frame as the prompts. This helps UNINEXT to segment corresponding targets in the following frames.
unimatch
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