论文阅读：Associative Embedding: End-to-End Learning for Joint Detection and Grouping
文章目录 1、论文总述 2、许多任务都可以被视为joint detection and grouping 3、 Common grouping approaches 4、the dimension of the embeddings 5、沙漏网络介绍 6、训练时的两个loss 7、训练和测试时候的多尺度 8、性能比较 参考文献 1、论文总述 这篇paper提出的网络结构主要是应用在了多人姿态估计
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相关文章
- 1. 论文翻译：Associative Embedding:End-to-End Learning for Joint Detection and Grouping
- 2. 姿态检测整理--06-Associative Embedding: End-to-End Learning for Joint Detection and Grouping
- 3. 1604.Joint Detection and Identification Feature Learning for Person Search论文阅读笔记
- 4. 论文阅读：Pixels to Graphs by Associative Embedding
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- 6. 论文阅读：Bottom-up Object Detection by Grouping Extreme and Center Points
- 7. 【论文笔记】Embedding of Embedding (EOE) : Joint Embedding for Coupled Heterogeneous Networks
- 8. 论文阅读：《Wide & Deep Learning for Recommender Systems》
- 9. 论文阅读笔记《Deep Active Learning for Civil Infrastructure Defect Detection and Classification》
- 10. 论文笔记之--Joint Detection and Identification Feature Learning for Person Search