From 290f65b52dd1688def06d28dbce871cf05ca4eea Mon Sep 17 00:00:00 2001 From: xuanwei liu Date: Thu, 5 Oct 2023 21:57:01 +0200 Subject: [PATCH] DenseShift information --- S3-Training/README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/S3-Training/README.md b/S3-Training/README.md index 8ebfa6e..aa15a11 100644 --- a/S3-Training/README.md +++ b/S3-Training/README.md @@ -1,3 +1,7 @@ +# DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization + +The DEMO code of the ICCV-2023 paper [DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization](https://openaccess.thecvf.com/content/ICCV2023/html/Li_DenseShift_Towards_Accurate_and_Efficient_Low-Bit_Power-of-Two_Quantization_ICCV_2023_paper.html) will be update to this repo soon. + # S3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks This repository is the DEMO code of the NeurIPS 2021 paper [S3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks](https://proceedings.neurips.cc/paper/2021/file/7a1d9028a78f418cb8f01909a348d9b2-Paper.pdf).