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As part of our migration to PyTorch, we'd love to integrate more backbone options for experimental use across datasets and use cases. This issue tracks these as we come across them.
As part of our migration to PyTorch, we'd love to integrate more backbone options for experimental use across datasets and use cases. This issue tracks these as we come across them.
Strong general features
Dense tracking
Segmentation
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