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Shawn_ c920d976e7
[Feature]: Add dino (#658) 
* [Feature]: Add the scaffold

* Code camp

* Update dino.py

* add loss

* Update dino_neck.py

* data_pipeline

* Update imagenet_dino.py

* [Feature]: Add dino neck

* [Feature]: Add dino neck

* [Feature]: Add teacher temp update hook

* [Feature]: Add dino algorithm

* [Feature]: Add Transform

* [Feature]: Add init

* [Feature]: Forward DINO

* [Feature]: Add DINO

* [Fix]: Delete dino dataset

* [Feature]: Add docstring

* [Feature]: Add readme

* [Fix]: Fix reviews

* [Fix]: Fix lint

---------

Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2023-03-28 11:07:16 +08:00
..
dino
[Feature]: Add dino (#658)
2023-03-28 11:07:16 +08:00
example_project
[Refactor] Remove file_client_args and apply new interface of fileio (#662)
2023-03-14 14:09:22 +08:00
fgia_accv2022_1st
[Feature]: Add pretraining for FGIA (#607)
2022-12-12 18:26:33 +08:00
maskfeat_video
[Feature] support MaskFeat pre-training with video (#678)
2023-02-07 16:40:50 +08:00
shape_bias
[Fix]: Fix the bug in shape bias (#717)
2023-03-09 10:23:28 +08:00
README.md
[Community] Add './projects' folder and an example (#586)
2022-11-23 20:42:31 +08:00

README.md

Welcome to Projects of MMSelfSup

In this folder, we welcome all contribution of self-supervised learning algorithms from community.

Here, these requirements, e.g. code standards, are not that strict as in core package. Thus, developers from the community can implement their algorithms much more easily and efficiently in MMSelfSup. We appreciate all contributions from community to make MMSelfSup greater.

We give some instructions to implement your algorithms under example_project folder.

We also provide some documentation listed below: