From 78cf01b896d596faf3fe95edbc1ae4da18f6044b Mon Sep 17 00:00:00 2001 From: daquexian Date: Sun, 5 May 2019 14:29:04 +0800 Subject: [PATCH] Update README.md --- README.md | 4 ++-- README_CN.md | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 5cbae4c..3238b9f 100644 --- 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 index 16402a7..2029aed 100644 --- 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