Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing

时间 2020-02-17

标签 look person self supervised structure sensitive learning new benchmark human parsing 繁體版

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0.Abstract ：说明本篇文章的主要工做：一是提出了一个用于人体解析的大数据集 Look into Person (LIP)，这个数据集相比以前的数据集更大，覆盖情景更多，更复杂，做者还在这个数据集上详细分析了以前的各类人体解析方法的优劣。二是提出了一种 self-supervised structure-sensitive approaches 去结合 high-level 的人

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1. [paper] Look Into Person
2. 图像分割"LIP: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing"
3. 论文阅读：《LIP: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing》
4. Human Semantic Parsing for Person Re-identification(Parsing 方法)
5. Human Semantic Parsing for Person Re-identification
6. human parsing—学习笔记
7. 论文阅读理解 - Look into Person: Self-supervised Structure-sensitive Learning
8. [paper] Multiple Human Parsing
9. Macro-Micro Adversarial Network for Human Parsing
10. Person Re-Identification (ReID), a New Facial Recognition Record
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1. [paper] Look Into Person
2. 图像分割"LIP: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing"
3. 论文阅读：《LIP: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing》
4. Human Semantic Parsing for Person Re-identification(Parsing 方法)
5. Human Semantic Parsing for Person Re-identification
6. human parsing—学习笔记
7. 论文阅读理解 - Look into Person: Self-supervised Structure-sensitive Learning
8. [paper] Multiple Human Parsing
9. Macro-Micro Adversarial Network for Human Parsing
10. Person Re-Identification (ReID), a New Facial Recognition Record

>>更多相关文章<<