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Update README.md, version to 0.6.2
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README.md

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## What's New
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### May 13, 2022
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* Official Swin-V2 models and weights added from (https://github.com/microsoft/Swin-Transformer). Cleaned up to support torchscript.
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* Some refactoring for existing `timm` Swin-V2-CR impl, will likely do a bit more to bring parts closer to official and decide whether to merge some aspects.
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* More Vision Transformer relative position / residual post-norm experiments w/ 512 dim
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* `vit_relpos_small_patch16_224` - 81.5 @ 224, 82.5 @ 320 -- rel pos, layer scale, no class token, avg pool
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* `vit_relpos_medium_patch16_rpn_224` - 82.3 @ 224, 83.1 @ 320 -- rel pos + res-post-norm, no class token, avg pool
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* `vit_relpos_medium_patch16_224` - 82.5 @ 224, 83.3 @ 320 -- rel pos, layer scale, no class token, avg pool
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* `vit_relpos_base_patch16_gapcls_224` - 82.8 @ 224, 83.9 @ 320 -- rel pos, layer scale, class token, avg pool (by mistake)
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* Bring 512 dim, 8-head 'medium' ViT model variant back to life (after using in a pre DeiT 'small' model for first ViT impl back in 2020)
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* Add ViT relative position support for switching btw existing impl and some additions in official Swin-V2 impl for future trials
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* Sequencer2D impl (https://arxiv.org/abs/2205.01972), added via PR from author (https://github.com/okojoalg)
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### May 2, 2022
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* Vision Transformer experiments adding Relative Position (Swin-V2 log-coord) (`vision_transformer_relpos.py`) and Residual Post-Norm branches (from Swin-V2) (`vision_transformer*.py`)
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* ReXNet - https://arxiv.org/abs/2007.00992
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* SelecSLS - https://arxiv.org/abs/1907.00837
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* Selective Kernel Networks - https://arxiv.org/abs/1903.06586
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* Sequencer2D - https://arxiv.org/abs/2205.01972
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* Swin S3 (AutoFormerV2) - https://arxiv.org/abs/2111.14725
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* Swin Transformer - https://arxiv.org/abs/2103.14030
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* Swin Transformer V2 - https://arxiv.org/abs/2111.09883

timm/version.py

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__version__ = '0.6.1'
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__version__ = '0.6.2'

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