From 279704a8af9b9da361cc4362de48ce8112060777 Mon Sep 17 00:00:00 2001
From: Xingyi Yang <787707188@qq.com>
Date: Sun, 12 Mar 2023 18:52:19 +0800
Subject: [PATCH] (*: Co-first Author)

---
 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index c2f6e15..0f5d949 100644
--- a/README.md
+++ b/README.md
@@ -16,6 +16,8 @@ This repository contains the offical implementation for our CVPR-2023 paper.
 
 Xinjiang Wang*, Xingyi Yang*, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang 
 
+(*: Co-first Author)
+
 
 > In this paper, we systematically investigate the inconsistency problems in semi-supervised object detection, where the pseudo boxes may be highly inaccurate and vary greatly at different stages of training. To alleviate the aforementioned problem, we present a holistic semi-supervised object detector termed Consistent-Teacher. Consistent-Teacher achieves compelling improvement on a wide range of evaluations and serves as a new solid baseline for SSOD.