# Self-supervised Learning Model Zoo ## Pretrained models ### MAE Pretrained on **ImageNet** dataset. | Config | Epochs | Download | | ------------------------------------------------------------ | ------ | ------------------------------------------------------------ | | [mae_vit_base_patch16_8xb64_400e](../../configs/selfsup/mae/mae_vit_base_patch16_8xb64_400e.py) | 400 | [model](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/mae/vit-b-400/pretrain_400.pth) | | [mae_vit_base_patch16_8xb64_1600e](../../configs/selfsup/mae/mae_vit_base_patch16_8xb64_1600e.py) | 1600 | [model](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/mae/vit-b-1600/pretrain_1600.pth) | ### DINO Pretrained on **ImageNet** dataset. | Config | Epochs | Download | | ------------------------------------------------------------ | ------ | ------------------------------------------------------------ | | [dino_deit_small_p16_8xb32_100e](../../configs/selfsup/dino/dino_deit_small_p16_8xb32_100e_tfrecord.py) | 100 | [model](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/dino_deit_small/epoch_100.pth) - [log](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/dino_deit_small/log.txt) | ### MoBY Pretrained on **ImageNet** dataset. | Config | Epochs | Download | | ------------------------------------------------------------ | ------ | ------------------------------------------------------------ | | [moby_deit_small_p16_4xb128_300e](../../configs/selfsup/moby/moby_deit_small_p16_4xb128_300e_tfrecord.py) | 300 | [model](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/moby_deit_small_p16/epoch_300.pth) - [log](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/moby_deit_small_p16/log.txt) | ### MoCo V2 Pretrained on **ImageNet** dataset. | Config | Epochs | Download | | ------------------------------------------------------------ | ------ | ------------------------------------------------------------ | | [mocov2_resnet50_8xb32_200e](../../configs/selfsup/mocov2/mocov2_rn50_8xb32_200e_tfrecord.py) | 200 | [model](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/mocov2_r50/epoch_200.pth) - [log](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/mocov2_r50/log.txt) | ### SwAV Pretrained on **ImageNet** dataset. | Config | Epochs | Download | | ------------------------------------------------------------ | ------ | ------------------------------------------------------------ | | [swav_resnet50_8xb32_200e](../../configs/selfsup/swav/swav_rn50_8xb32_200e_tfrecord.py) | 200 | [model](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/swav_r50/epoch_200.pth) - [log](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/swav_r50/log.txt) | ## Benchmarks For detailed usage of benchmark tools, please refer to benchmark [README.md](../../benchmarks/selfsup/README.md). ### ImageNet Linear Evaluation | Algorithm | Linear Eval Config | Pretrained Config | Top-1 (%) | Download | | --------- | ------------------------------------------------------------ | ------------------------------------------------------------ | --------- | ------------------------------------------------------------ | | SwAV | [swav_resnet50_8xb2048_20e_feature](../../benchmarks/selfsup/classification/imagenet/swav_r50_8xb2048_20e_feature.py) | [swav_resnet50_8xb32_200e](../../configs/selfsup/swav/swav_rn50_8xb32_200e_tfrecord.py) | 73.618 | [log](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/imagenet_linear_eval/swav_r50_linear_eval/20220216_101719.log.json) | | DINO | [dino_deit_small_p16_8xb2048_20e_feature](../../benchmarks/selfsup/classification/imagenet/dino_deit_small_p16_8xb2048_20e_feature.py) | [dino_deit_small_p16_8xb32_100e](../../configs/selfsup/dino/dino_deit_small_p16_8xb32_100e_tfrecord.py) | 71.248 | [log](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/imagenet_linear_eval/dino_deit_small_linear_eval/20220215_141403.log.json) | | MoBY | [moby_deit_small_p16_8xb2048_30e_feature](../../benchmarks/selfsup/classification/imagenet/moby_deit_small_p16_8xb2048_30e_feature.py) | [moby_deit_small_p16_4xb128_300e](../../configs/selfsup/moby/moby_deit_small_p16_4xb128_300e_tfrecord.py) | 72.214 | [log](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/imagenet_linear_eval/moby_deit_small_p16_linear_eval/20220414_134929.log.json) | | MoCo-v2 | [mocov2_resnet50_8xb2048_40e_feature](../../benchmarks/selfsup/classification/imagenet/mocov2_r50_8xb2048_40e_feature.py) | [mocov2_resnet50_8xb32_200e](../../configs/selfsup/mocov2/mocov2_rn50_8xb32_200e_tfrecord.py) | 66.8 | [log](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/imagenet_linear_eval/mocov2_r50_linear_eval/20220214_143738.log.json) | ### ImageNet Finetuning | Algorithm | Fintune Config | Pretrained Config | Top-1 (%) | Download | | --------- | ------------------------------------------------------------ | ------------------------------------------------------------ | --------- | ------------------------------------------------------------ | | **MAE** | [mae_vit_base_patch16_8xb64_100e_lrdecay075_fintune](../../benchmarks/selfsup/classification/imagenet/mae_vit_base_patch16_8xb64_100e_lrdecay075_fintune.py) | [mae_vit_base_patch16_8xb64_400e](../../configs/selfsup/mae/mae_vit_base_patch16_8xb64_400e.py) | 83.13 | [fintune model](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/mae/vit-b-400/fintune_400.pth) | | | [mae_vit_base_patch16_8xb64_100e_lrdecay065_fintune](../../benchmarks/selfsup/classification/imagenet/mae_vit_base_patch16_8xb64_100e_lrdecay065_fintune.py) | [mae_vit_base_patch16_8xb64_1600e](../../configs/selfsup/mae/mae_vit_base_patch16_8xb64_1600e.py) | 83.49 | [fintune model](http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/mae/vit-b-1600/fintune_1600.pth) |