【Person Re-ID】Person Re-Identification by Deep Learning Multi-Scale Representations
paper下載地址：http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf Introduction 本文主要的考慮是：目前所有re-id的方法，不管是不是基於CNN的，第一步都是將圖像resize到統一大小然後再來提取特徵。這種做法會模糊掉圖像在不同尺度上的顯著性特徵，因此作者認爲這樣的方法不是最優的，本文提出了一種在
相關文章
- 1. ReID簡記-3-3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-id
- 2. Person Re-Identification by Deep Learning Multi-Scale Representations 論文筆記
- 3. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
- 4. Unsupervised Person Re-identification by Deep Learning Tracklet Association
- 5. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 6. 【ReID】Hierarchical and Efficient Learning for Person Re-Identification
- 7. Learning Generalisable Omni-Scale Representations for Person Re-Identification
- 8. Person Re-Identification (ReID), a New Facial Recognition Record
- 9. Learning Delicate Local Representations for Multi-Person Pose Estimation
- 10. 泛讀論文：Person-reID 行人重識別合集
- 更多相關文章...
- • SQLite Indexed By - SQLite教程
- • SQLite Group By - SQLite教程
- • Java 8 Stream 教程
- • Java Agent入門實戰（一）-Instrumentation介紹與使用
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。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. ReID簡記-3-3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-id
- 2. Person Re-Identification by Deep Learning Multi-Scale Representations 論文筆記
- 3. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
- 4. Unsupervised Person Re-identification by Deep Learning Tracklet Association
- 5. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 6. 【ReID】Hierarchical and Efficient Learning for Person Re-Identification
- 7. Learning Generalisable Omni-Scale Representations for Person Re-Identification
- 8. Person Re-Identification (ReID), a New Facial Recognition Record
- 9. Learning Delicate Local Representations for Multi-Person Pose Estimation
- 10. 泛讀論文：Person-reID 行人重識別合集