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Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository

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some codes in `train.py` is like: ```python if world_size > 1: with torch.no_grad(): all_z = [torch.zeros_like(z) for _ in range(world_size)] torch.distributed.all_gather(all_z, z) all_z[cfg.local_rank] = z z = torch.cat(all_z) ``` I'm...

Thank you for your commendable efforts in your work. I have a question regarding the split of the Stanford Cars dataset, which comprises 16,185 images representing 196 car models, in...