From b32361c9f8e0ad7ba99670e562ff07dabc43c397 Mon Sep 17 00:00:00 2001 From: Zhun Zhong Date: Mon, 3 Jun 2019 20:33:04 +1000 Subject: [PATCH] Correct name --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 3f734664..8b7f9066 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ I've included a few of my favourite models, but this is not an exhaustive collec * DenseNet (from [torchvision](https://github.com/pytorch/vision/tree/master/torchvision/models)) * DenseNet-121, DenseNet-169, DenseNet-201, DenseNet-161 * Squeeze-and-Excitation ResNet/ResNeXt (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch) with some pretrained weight additions by myself) - * SENet-154, SE-ResNet-18, SE-ResNet-34, SE-ResNet-50, SE-ResNet-101, SE-ResNet-152, SE-ResNeXt-26 (32x4d), SE-ResNeXt50 (32x4d), ResNeXt101 (32x4d) + * SENet-154, SE-ResNet-18, SE-ResNet-34, SE-ResNet-50, SE-ResNet-101, SE-ResNet-152, SE-ResNeXt-26 (32x4d), SE-ResNeXt50 (32x4d), SE-ResNeXt101 (32x4d) * Inception-ResNet-V2 and Inception-V4 (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch) ) * Xception (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch)) * PNasNet (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch))