Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training阅读笔记

时间 2020-12-30

标签 Person Re-ID ReID Pyramidal 动态损失训练繁體版

原文原文链接

Paper：https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/1810.12193.pdf Code：https://github.com/Klitter/Pyramidal_Person_ReID（侵删）摘要：论文指出基于特征图水平切块（part-based）的行人重识别很大程度上依赖于目标检测算法的优劣。差的目标检测算法由于无法精确

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1. 2018 CVPR：Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
2. 【论文笔记】：Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
3. Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training论文阅读翻译 - 2020ECCV
4. 论文阅读笔记《GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training》
5. 《Long Text Generation via Adversarial Training with Leaked Information》阅读笔记
6. Dynamic Cloud Instance Acquisition via IaaS Cloud Brokerage 文章阅读笔记
7. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
8. 【论文笔记】Accelerated Training for Massive Classification via Dynamic Class Selection
9. 1705.IAN- The Individual Aggregation Network for Person Search 论文阅读笔记
10. 【阅读笔记】Improved Training of Wasserstein GANs

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