* update arcface
* fix unit tests
* add adv-margins
add adv-margins
update arcface
* rebase
* update doc and fix ut
* rebase
* update code
* rebase
* use label data
* update set-margins
* Modify Arcface related method names.
Co-authored-by: mzr1996 <mzr1996@163.com>
* feat: add arcface head
* feat: add arcface head
* update arcface
* refactor archface head
* update archface head
* update archface head
* use torch.cat instead of torch.hstack to fix ci
Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
* Fix MobileNet V3 configs
* Refactor to support more powerful feature extraction.
* Add unit tests
* Fix unit test
* Imporve according to comments
* Update checkpoints path
* Fix unit tests
* Add docstring of `simple_test`
* Add docstring of `extract_feat`
* Update model zoo
* Support DeiT backbone.
* Use hook to automatically resize pos embed
* Update ViT training setting
* Add deit configs and update docs
* Fix vit arch assertion
* Remove useless init function
* Add unit tests.
* Fix resize_pos_embed for DeiT
* Improve according to comments.
* [Squash] Refator ViT (from #295)
* Use base variable to simplify auto_aug setting
* Use common PatchEmbed, remove HybridEmbed and refactor ViT init
structure.
* Add `output_cls_token` option and change the output format of ViT and
input format of ViT head.
* Update unit tests and add test for `output_cls_token`.
* Support out_indices.
* Standardize config files
* Support resize position embedding.
* Add readme file of vit
* Rename config file
* Improve docs about ViT.
* Update docstring
* Use local version `MultiheadAttention` instead of mmcv version.
* Fix MultiheadAttention
* Support `qk_scale` argument in `MultiheadAttention`
* Improve docs and change `layer_cfg` to `layer_cfgs` and support
sequence.
* Use init_cfg to init Linear layer in VisionTransformerHead
* update metafile
* Update checkpoints and configs
* Imporve docstring.
* Update README
* Revert GAP modification.
* Defaults to return tuple in all backbones.
* Compat downstream of swin transformer.
* Support tuple input for multi label head and stacked head.
* Fix backbone unit tests for tuple output.
* Add downstream inference unit tests for mmdet.
* Update gitignore
* Add unit tests for `return_tuple` option
* Add unit tests for head input tuple.
* Add warning in `simple_test`
* Add TIMMBackbone return tuple.
* Modify timm backbone unit test.
* Refactor unit tests folder structure.
* Remove label smooth and Vit test in `test_classifiers.py`
* Rename test_utils in dataset to test_dataset_utils
* Split test_models/test_utils/test_utils.py to multiple sub files.
* Add unit tests of classifiers and heads
* Use patch context manager.
* Add unit test of `is_tracing`, and add warning in `is_tracing` if torch
verison is smaller than 1.6.0
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