From f1db5182e75c5ac775da503236d565c6c8b03a87 Mon Sep 17 00:00:00 2001 From: daquexian Date: Tue, 8 Oct 2019 15:46:41 +0800 Subject: [PATCH] Add * --- README.md | 4 ++-- README_CN.md | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 4802f0b..9ee5e78 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ Android app demo: https://github.com/JDAI-CV/dabnn-example The following two papers use dabnn to measure the latency of their binary networks on real devices: -[IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks](https://arxiv.org/abs/1909.10788) +* [IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks](https://arxiv.org/abs/1909.10788) -[Balanced Binary Neural Networks with Gated Residual](https://arxiv.org/abs/1909.12117) +* [Balanced Binary Neural Networks with Gated Residual](https://arxiv.org/abs/1909.12117) ## License and Citation diff --git a/README_CN.md b/README_CN.md index 236f113..12e163b 100644 --- a/README_CN.md +++ b/README_CN.md @@ -86,9 +86,9 @@ Android app demo: https://github.com/JDAI-CV/dabnn-example 这两篇二值网络方向的相关工作引用了 dabnn 并使用 dabnn 测试二值网络在真实设备上的速度： -[IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks](https://arxiv.org/abs/1909.10788) +* [IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks](https://arxiv.org/abs/1909.10788) -[Balanced Binary Neural Networks with Gated Residual](https://arxiv.org/abs/1909.12117) +* [Balanced Binary Neural Networks with Gated Residual](https://arxiv.org/abs/1909.12117) ## 开源许可和引用