diff --git a/configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py b/configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py index ec1a585d..76ef5f88 100644 --- a/configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py +++ b/configs/benchmarks/classification/imagenet/swin-base_ft-8xb256-coslr-100e_in1k-224.py @@ -56,3 +56,4 @@ val_dataloader = dict( dataset=dict(pipeline=test_pipeline), collate_fn=dict(type='default_collate'), pin_memory=True) +test_dataloader = val_dataloader diff --git a/configs/selfsup/simmim/README.md b/configs/selfsup/simmim/README.md index b1316916..a26ae8d4 100644 --- a/configs/selfsup/simmim/README.md +++ b/configs/selfsup/simmim/README.md @@ -67,10 +67,10 @@ Here, we report the results of the model, and more results will be coming soon. 224 2048 / - 83.8 + 83.7 config | model | log / - config | model | log + config | model | log SimMIM diff --git a/docs/en/model_zoo.md b/docs/en/model_zoo.md index 1bf41e5a..ca0fa10a 100644 --- a/docs/en/model_zoo.md +++ b/docs/en/model_zoo.md @@ -360,10 +360,10 @@ ImageNet has multiple versions, but the most commonly used one is ILSVRC 2012. T 800 2048 / - 83.8 + 83.7 config | model | log / - config | model | log + config | model | log Swin-large-FT224 diff --git a/docs/zh_cn/model_zoo.md b/docs/zh_cn/model_zoo.md index 25a5dbe6..63b47098 100644 --- a/docs/zh_cn/model_zoo.md +++ b/docs/zh_cn/model_zoo.md @@ -360,10 +360,10 @@ ImageNet 有多个版本，不过最常用的是 ILSVRC 2012。我们提供了 800 2048 / - 83.8 + 83.7 config | model | log / - config | model | log + config | model | log Swin-large-FT224