JavaShuo
欄目
標籤
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
時間 2020-12-24
原文
原文鏈接
一、介紹 提取part-level的特徵進行行人重識別提供了細粒度信息,最近的研究表明對提升行人重識別準確度非常有效。其中提取part-level特徵發揮作用的關鍵是每個部分被準確的定位。現有一些利用外部提示的方法如姿態估計等等來定位每個部分,作者提出了一種根據每部分內容上的一致性進行定位的方法。 具體地說,作者目標是學習判別能力強地part-informed features來進行行人重識別,主
>>阅读原文<<
相關文章
1.
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
2.
【ReID】Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional...
3.
Beyond Part Models- Person Retrieval with Refined Part Pooling
4.
Beyond Part Models: Person Retrieval with Refined Part Pooling (ECCV2018)
5.
《Beyond Part Models: Person Retrieval with Refined Part Pooling 》PCB論文解讀
6.
【Person Re-ID】Beyond Part Models: Person Retrieval with Refined Part Pooling
7.
[論文閱讀] Beyond part models: Person retrieval with refined part pooling
8.
2017 ECCV之ReID:Beyond Part Models Person Retrieval with Refined Part Pooling (PCB)
9.
論文之Beyond Part Models: Person Retrieval with Refined Part Pooling
10.
Beyond Part Models: Person Retrieval with Refined Part Pooling[論文筆記]
更多相關文章...
•
XSL-FO table-and-caption 對象
-
XSL-FO 教程
•
W3C RDF and OWL 活動
-
W3C 教程
•
RxJava操作符(七)Conditional and Boolean
•
Java 8 Stream 教程
相關標籤/搜索
part.2
Part 11
Part 13
Part 10
Part 14
part.02
part.8
Part 3
Part 1
Part 12
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.
安裝cuda+cuDNN
2.
GitHub的使用說明
3.
phpDocumentor使用教程【安裝PHPDocumentor】
4.
yarn run build報錯Component is not found in path 「npm/taro-ui/dist/weapp/components/rate/index「
5.
精講Haproxy搭建Web集羣
6.
安全測試基礎之MySQL
7.
C/C++編程筆記:C語言中的複雜聲明分析,用實例帶你完全讀懂
8.
Python3教程(1)----搭建Python環境
9.
李宏毅機器學習課程筆記2:Classification、Logistic Regression、Brief Introduction of Deep Learning
10.
阿里雲ECS配置速記
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.
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
2.
【ReID】Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional...
3.
Beyond Part Models- Person Retrieval with Refined Part Pooling
4.
Beyond Part Models: Person Retrieval with Refined Part Pooling (ECCV2018)
5.
《Beyond Part Models: Person Retrieval with Refined Part Pooling 》PCB論文解讀
6.
【Person Re-ID】Beyond Part Models: Person Retrieval with Refined Part Pooling
7.
[論文閱讀] Beyond part models: Person retrieval with refined part pooling
8.
2017 ECCV之ReID:Beyond Part Models Person Retrieval with Refined Part Pooling (PCB)
9.
論文之Beyond Part Models: Person Retrieval with Refined Part Pooling
10.
Beyond Part Models: Person Retrieval with Refined Part Pooling[論文筆記]
>>更多相關文章<<