JavaShuo
欄目
標籤
A3M:Attribute-Aware Attention Model for Fine-grained Representation Learning
時間 2021-01-11
原文
原文鏈接
code 一條支路直接做ID分類(Category),其餘分支做屬性分類。 兩個attention模塊,一個是 即屬性在Category Feature Map中找到屬性對應的部分(attention) 另一個是: Category特徵嵌入到屬性特徵中去找哪些屬性特徵利於Category分類(Attention)。 最終達到的效果是ap更近,an更遠: 效果(並不高):
>>阅读原文<<
相關文章
1.
《VideoBERT: A Joint Model for Video and Language Representation Learning》
2.
An Unsupervised Autoregressive Model for Speech Representation Learning
3.
[AAAI2018]Learning Structured Representation Representation for Text Classification via Reinforcemen
4.
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
5.
recurrent model for visual attention
6.
Hierarchical Attention Based Semi-supervised Network Representation Learning
7.
Predictive learning vs. representation learning
8.
Self-Supervised Representation Learning
9.
Building Program Vector Representation for Deep Learning
10.
Momentum Contrast for Unsupervised Visual Representation Learning
更多相關文章...
•
Swift for 循環
-
Swift 教程
•
Scala for循環
-
Scala教程
•
Java Agent入門實戰(三)-JVM Attach原理與使用
•
Java Agent入門實戰(一)-Instrumentation介紹與使用
相關標籤/搜索
representation
attention
learning
model
bilstm+attention
Deep Learning
Meta-learning
Learning Perl
model&animation
for...of
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.
排序-堆排序(heapSort)
2.
堆排序(heapSort)
3.
堆排序(HEAPSORT)
4.
SafetyNet簡要梳理
5.
中年轉行,擁抱互聯網(上)
6.
SourceInsight4.0鼠標單擊變量 整個文件一樣的關鍵字高亮
7.
遊戲建模和室內設計那個未來更有前景?
8.
cloudlet_使用Search Cloudlet爲您的搜索添加種類
9.
藍海創意雲丨這3條小建議讓編劇大大提高工作效率!
10.
flash動畫製作修改教程及超實用的小技巧分享,碩思閃客精靈
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.
《VideoBERT: A Joint Model for Video and Language Representation Learning》
2.
An Unsupervised Autoregressive Model for Speech Representation Learning
3.
[AAAI2018]Learning Structured Representation Representation for Text Classification via Reinforcemen
4.
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
5.
recurrent model for visual attention
6.
Hierarchical Attention Based Semi-supervised Network Representation Learning
7.
Predictive learning vs. representation learning
8.
Self-Supervised Representation Learning
9.
Building Program Vector Representation for Deep Learning
10.
Momentum Contrast for Unsupervised Visual Representation Learning
>>更多相關文章<<