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mmselfsup/tools/benchmarks/classification
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Yixiao Fang 5e44bf7179 [Refactor] Refactor evaluation folder and related configs (#538) 
* refactor evaluation folder

* update knn script

* update ut

* update configs

* update config names according to mmdet and mmseg

* update docs
2022-11-03 16:09:36 +08:00
..
knn_imagenet
[Refactor] Refactor evaluation folder and related configs (#538)
2022-11-03 16:09:36 +08:00
svm_voc07
[Refactor]: Refactor data flow (#429)
2022-08-30 11:34:04 +08:00
mim_dist_test.sh
[Fix]: Refine mim_slurm_test.sh (#477)
2022-10-12 19:35:44 +08:00
mim_dist_train.sh
[Refactor] refactor classification benchmark, ResNet related config
2022-07-18 11:06:44 +08:00
mim_slurm_test.sh
[Fix]: Refine mim_slurm_test.sh (#477)
2022-10-12 19:35:44 +08:00
mim_slurm_train.sh
[Refactor] refactor classification benchmark, ResNet related config
2022-07-18 11:06:44 +08:00
README.md
[Refactor]: Refactor the directory structure of docs (#146)
2021-12-16 20:29:57 +08:00

README.md

Classification

As for classification task, we provides several benchmarks, such as SVM / Low-shot SVM, linear evaluation, semi-supervised classification, etc.

Please refer to benchmark tutorial for details.