Update README.md

JDAI-CV · May 5, 2019 · 78cf01b · 78cf01b
1 parent c264d2f
commit 78cf01b
Show file tree

Hide file tree

Showing 2 changed files with 4 additions and 4 deletions.
diff --git a/README.md b/README.md
@@ -56,9 +56,9 @@ Note: Even though ONNX has the Sign operator, we haven't supported it for now (I
 
 We publish two pretrained binary neural network models based on [Bi-Real Net](https://arxiv.org/abs/1808.00278) on ImageNet. More pretrained models will be published in the future.
 
-[Bi-Real Net 18](https://drive.google.com/uc?export=download&id=1Oau5CtFR9nWXmlBBU47Jg5ypMiIEMtvo), 56.4% top-1 on ImageNet, 61.8ms/image on Google Pixel 1
+* [Bi-Real Net 18](https://drive.google.com/uc?export=download&id=1Oau5CtFR9nWXmlBBU47Jg5ypMiIEMtvo), 56.4% top-1 on ImageNet, 61.8ms/image on Google Pixel 1.
 
-[Bi-Real Net 18 with Stem Module](https://drive.google.com/uc?export=download&id=1ArsirMdbtJ9lvHSjc1hkQ7dIXDKh-D1t), 56.4% top-1 on ImageNet, 43.2ms/image on Google Pixel 1
+* [Bi-Real Net 18 with Stem Module](https://drive.google.com/uc?export=download&id=1ArsirMdbtJ9lvHSjc1hkQ7dIXDKh-D1t), 56.4% top-1 on ImageNet, 43.2ms/image on Google Pixel 1. The detailed network structure will be described in the coming paper.
 
 ## Implementation Details
 

diff --git a/README_CN.md b/README_CN.md
@@ -56,9 +56,9 @@ Android app demo: https://github.com/JDAI-CV/dabnn-example
 
 我们提供两个在 ImageNet 上训练的、基于 [Bi-Real Net](https://arxiv.org/abs/1808.00278) 的二值网络模型，将来还会有其它的模型发布。
 
-[Bi-Real Net 18](https://drive.google.com/uc?export=download&id=1Oau5CtFR9nWXmlBBU47Jg5ypMiIEMtvo), ImageNet top-1 为 56.4%, 在 Google Pixel 1 上的速度为 61.8ms/image.
+* [Bi-Real Net 18](https://drive.google.com/uc?export=download&id=1Oau5CtFR9nWXmlBBU47Jg5ypMiIEMtvo), ImageNet top-1 为 56.4%, 在 Google Pixel 1 上的速度为 61.8ms/image。
 
-[Bi-Real Net 18 with Stem Module](https://drive.google.com/uc?export=download&id=1ArsirMdbtJ9lvHSjc1hkQ7dIXDKh-D1t), ImageNet top-1 为 56.4%, 在 Google Pixel 1 上的速度为 43.2ms/image.
+* [Bi-Real Net 18 with Stem Module](https://drive.google.com/uc?export=download&id=1ArsirMdbtJ9lvHSjc1hkQ7dIXDKh-D1t), ImageNet top-1 为 56.4%, 在 Google Pixel 1 上的速度为 43.2ms/image。详细的网络结构将在论文中描述。
 
 ## 技术细节