JavaShuo
欄目
標籤
Beyond Part Models- Person Retrieval with Refined Part Pooling
時間 2021-01-02
原文
原文鏈接
Motivation 當前利用 part-level feature 做re-id 的方法大致分爲兩類: 1. 利用在其他數據集上訓練好的 pose estimation 模型 unsupervised transfer 到 re-id 數據集上得到 local part 的定位,然後基於local parts 提取 part-level features。 2.不使用額外的類似於 pose es
>>阅读原文<<
相關文章
1.
Beyond Part Models: Person Retrieval with Refined Part Pooling (ECCV2018)
2.
【Person Re-ID】Beyond Part Models: Person Retrieval with Refined Part Pooling
3.
論文之Beyond Part Models: Person Retrieval with Refined Part Pooling
4.
《Beyond Part Models: Person Retrieval with Refined Part Pooling 》PCB論文解讀
5.
【ReID】Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional...
6.
Beyond Part Models: Person Retrieval with Refined Part Pooling[論文筆記]
7.
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
8.
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
9.
讀論文Beyond Part Models Person Retrieval with Refined Part Pooling
10.
[論文閱讀] Beyond part models: Person retrieval with refined part pooling
更多相關文章...
•
PHP preg_match_all() 函數
-
PHP參考手冊
•
WSDL 端口
-
WSDL 教程
•
Java 8 Stream 教程
•
爲了進字節跳動,我精選了29道Java經典算法題,帶詳細講解
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.
css 讓chrome支持小於12px的文字
2.
集合的一點小總結
3.
ejb
4.
Selenium WebDriver API
5.
人工智能基礎,我的看法
6.
Non-local Neural及Self-attention
7.
Hbuilder 打開iOS真機調試操作
8.
improved open set domain adaptation with backpropagation 學習筆記
9.
Chrome插件 GitHub-Chart Commits3D直方圖視圖
10.
CISCO ASAv 9.15 - 體驗思科上一代防火牆
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 (ECCV2018)
2.
【Person Re-ID】Beyond Part Models: Person Retrieval with Refined Part Pooling
3.
論文之Beyond Part Models: Person Retrieval with Refined Part Pooling
4.
《Beyond Part Models: Person Retrieval with Refined Part Pooling 》PCB論文解讀
5.
【ReID】Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional...
6.
Beyond Part Models: Person Retrieval with Refined Part Pooling[論文筆記]
7.
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
8.
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
9.
讀論文Beyond Part Models Person Retrieval with Refined Part Pooling
10.
[論文閱讀] Beyond part models: Person retrieval with refined part pooling
>>更多相關文章<<