JavaShuo
欄目
標籤
Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
時間 2020-12-29
標籤
Re-id
行人再識別
論文解析
DGD
Deep-Model
欄目
HTML
简体版
原文
原文鏈接
剛剛看完這篇論文,整理了一下思路。這篇論文基於神經元在學習不同特徵時活躍程度不同而提出DGD的方法,也是666的 論文:https://arxiv.org/abs/1604.07528 代碼:https://github.com/Cysu/dgd_person_reid 論文解析 文章一開始,作者解釋了爲什麼要使用多個數據集進行訓練: Learning generic and robust fea
>>阅读原文<<
相關文章
1.
1604. Learning deep feature representations with domain guided dropout for re-id論文閱讀筆記
2.
1604.An Enhanced Deep Feature Representation for Person Re-identification 論文筆記
3.
1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
4.
【ReID】Hierarchical and Efficient Learning for Person Re-Identification
5.
【ReID】EANet: Enhancing Alignment for Cross-Domain Person Re-identification
6.
part-aligned系列論文:1707.Deep Representation Learning with Part Loss for Person ReID 論文閱讀筆記
7.
【ReID】Learning Discriminative Features with Multiple Granularities for Person Re-identification
8.
View Confusion Feature Learning for Person Re-identification
9.
2019 IET之ReID:HPILN: a feature learning framework for cross-modality person re-identification
10.
Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
更多相關文章...
•
Swift for 循環
-
Swift 教程
•
Scala for循環
-
Scala教程
•
Java 8 Stream 教程
•
Java Agent入門實戰(三)-JVM Attach原理與使用
相關標籤/搜索
Deep Learning
guided
person
dropout
representation
ReID
feature
domain
learning
deep
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.
Android Studio3.4中出現某個項目全部亂碼的情況之解決方式
2.
Packet Capture
3.
Android 開發之 仿騰訊視頻全部頻道 RecyclerView 拖拽 + 固定首個
4.
rg.exe佔用cpu導致卡頓解決辦法
5.
X64內核之IA32e模式
6.
DIY(也即Build Your Own) vSAN時,選擇SSD需要注意的事項
7.
選擇深圳網絡推廣外包要注意哪些問題
8.
店鋪運營做好選款、測款的工作需要注意哪些東西?
9.
企業找SEO外包公司需要注意哪幾點
10.
Fluid Mask 摳圖 換背景教程
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.
1604. Learning deep feature representations with domain guided dropout for re-id論文閱讀筆記
2.
1604.An Enhanced Deep Feature Representation for Person Re-identification 論文筆記
3.
1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
4.
【ReID】Hierarchical and Efficient Learning for Person Re-Identification
5.
【ReID】EANet: Enhancing Alignment for Cross-Domain Person Re-identification
6.
part-aligned系列論文:1707.Deep Representation Learning with Part Loss for Person ReID 論文閱讀筆記
7.
【ReID】Learning Discriminative Features with Multiple Granularities for Person Re-identification
8.
View Confusion Feature Learning for Person Re-identification
9.
2019 IET之ReID:HPILN: a feature learning framework for cross-modality person re-identification
10.
Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
>>更多相關文章<<