提交 cd671e99 编写于 作者: K kbChen 提交者: qingqing01

fix metric learning readme (#1950)

上级 03106471
......@@ -95,7 +95,7 @@ python infer.py \
## Performances
For comparation, many metric learning models with different neural networks and loss functions are trained using corresponding experiential parameters. Recall@Rank-1 is used as evaluation metric and the performance is listed in the table. Pretrained models can be downloaded by clicking related model names.
For comparation, many metric learning models with different neural networks and loss functions are trained using corresponding experiential parameters. Recall@Rank-1 is used as evaluation metric and the performance is listed in the table.
|pretrain model | softmax | arcmargin
|- | - | -:
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