Mixed High-Order Attention Network for Person Re-Identification摘要
Mixed High-Order Attention Network for Person Re-Identification 針對問題：局部特徵 新穎點： 不同於以往channel-wise和position-wise的注意力機制，作者提出了High-Order Attention module可以利用複雜的高階統計信息，捕捉細微差別 在MHN中作者採用了不同階數的HOA模塊，並引入了對抗約束防止
相關文章
- 1. [行人重識別]--ICCV2019-Mixed High-Order Attention Network for Person Re-Identification
- 2. ICCV2019-行人重識別-Mixed High-Order Attention Network for Person Re-Identification
- 3. Collaborative Attention Network for Person Re-identification
- 4. Harmonious Attention Network for Person Re-Identification
- 5. Triple Attention Mixed Link Network for Single Image Super Resolution
- 6. Paper Reading: Attention-Aware Compositional Network for Person Re-identification
- 7. Attention-Aware Compositional Network for Person Re-identification
- 8. Three-Dimension Transmissible Attention Network for Person Re-Identification
- 9. Residual attention network for image classification
- 10. Residual Attention Network for Image Classification
- 更多相關文章...
- • RDF 主要 元素 - RDF 教程
- • Swift for 循環 - Swift 教程
- • Java 8 Stream 教程
- • Flink 數據傳輸及反壓詳解
相關標籤/搜索
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
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. [行人重識別]--ICCV2019-Mixed High-Order Attention Network for Person Re-Identification
- 2. ICCV2019-行人重識別-Mixed High-Order Attention Network for Person Re-Identification
- 3. Collaborative Attention Network for Person Re-identification
- 4. Harmonious Attention Network for Person Re-Identification
- 5. Triple Attention Mixed Link Network for Single Image Super Resolution
- 6. Paper Reading: Attention-Aware Compositional Network for Person Re-identification
- 7. Attention-Aware Compositional Network for Person Re-identification
- 8. Three-Dimension Transmissible Attention Network for Person Re-Identification
- 9. Residual attention network for image classification
- 10. Residual Attention Network for Image Classification