JavaShuo
欄目
標籤
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification(PTGAN+MSMT17)
時間 2021-01-07
欄目
HTML
简体版
原文
原文鏈接
論文分爲數據集和圖像風格遷移算法(兩個數據集之間)兩部分: 這是屬於無監督的遷移,GAN Motivation: 1.數據集和現實的區別:1.規模小2.場景單一 3.光照單一 解決:因此提出了更爲複雜的數據集MSMT17。 2.想解決訓練集測試集不均衡的問題:(目前訓練測試集基本上時1:1的比例) 方法:重用之前的別的數據集訓練。但是數據集之前的gap導致識別率低。 Multi-SceneMult
>>阅读原文<<
相關文章
1.
Person Transfer GAN to Bridge Domain Gap for Person Re-identification
2.
【ReID】【Skimming】Unity Style Transfer for Person Re-Identification
3.
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
4.
Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
5.
【ReID】EANet: Enhancing Alignment for Cross-Domain Person Re-identification
6.
【ReID】【Skimming】Unsupervised Cross-Dataset Transfer Learning for Person Re-identification
7.
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
8.
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
9.
ICCV2019-行人重識別-Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
10.
1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
更多相關文章...
•
ASP Transfer 方法
-
ASP 教程
•
Scala for循環
-
Scala教程
•
Java 8 Stream 教程
•
算法總結-股票買賣
相關標籤/搜索
person
gap
transfer
gan
domain
bridge
concurrenthashmap#transfer
iframe+domain
tap+bridge
bridge+vlan
HTML
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
ubantu 增加搜狗輸入法
2.
用實例講DynamicResource與StaticResource的區別
3.
firewall防火牆
4.
頁面開發之res://ieframe.dll/http_404.htm#問題處理
5.
[實踐通才]-Unity性能優化之Drawcalls入門
6.
中文文本錯誤糾正
7.
小A大B聊MFC:神奇的靜態文本控件--初識DC
8.
手扎20190521——bolg示例
9.
mud怎麼存東西到包_將MUD升級到Unity 5
10.
GMTC分享——當插件化遇到 Android P
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Person Transfer GAN to Bridge Domain Gap for Person Re-identification
2.
【ReID】【Skimming】Unity Style Transfer for Person Re-Identification
3.
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
4.
Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
5.
【ReID】EANet: Enhancing Alignment for Cross-Domain Person Re-identification
6.
【ReID】【Skimming】Unsupervised Cross-Dataset Transfer Learning for Person Re-identification
7.
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
8.
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
9.
ICCV2019-行人重識別-Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
10.
1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
>>更多相關文章<<