Human Parsing人体解析多篇论文简读

时间 2021-01-13

标签论文阅读 Human Parsing 繁體版

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Macro-Micro Adversarial Network for Human Parsing（ECCV2018）摘要：在人体解析中，pixel-wise分类loss在低级局部不一致和高级语义不一致上有不足。引入带有一个判别器的生成式网络来解决这两个不一致。但是，这两种不一致是由不同机制产生的，所以一个判别器不能解决两个不一致。所以提出Macro-Micro对抗网络，俩判别器。同时，避免了对

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1. 多人部件解析--Towards Real World Human Parsing: Multiple-Human Parsing in the Wild
2. 论文阅读：Learning Human-Object Interactions by Graph Parsing Neural Networks
3. 论文阅读：《Human Parsing with Contextualized Convolutional Neural Network》ICCV 2015
4. [paper] Multiple Human Parsing
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7. 论文阅读：《LIP: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing》
8. Human Semantic Parsing for Person Re-identification(Parsing 方法)
9. CVPR2018论文翻译 Human Semantic Parsing for Person Re-identification
10. 深度学习论文（十）---Multiple-Human Parsing in the Wild
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1. 多人部件解析--Towards Real World Human Parsing: Multiple-Human Parsing in the Wild
2. 论文阅读：Learning Human-Object Interactions by Graph Parsing Neural Networks
3. 论文阅读：《Human Parsing with Contextualized Convolutional Neural Network》ICCV 2015
4. [paper] Multiple Human Parsing
5. Pyramid Scene Parsing Network论文解读
6. 论文阅读理解 - Pyramid Scene Parsing Network
7. 论文阅读：《LIP: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing》
8. Human Semantic Parsing for Person Re-identification(Parsing 方法)
9. CVPR2018论文翻译 Human Semantic Parsing for Person Re-identification
10. 深度学习论文（十）---Multiple-Human Parsing in the Wild

>>更多相关文章<<