論文閱讀理解 - Look into Person: Self-supervised Structure-sensitive Learning
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing Code-Caffe Paper 摘要—— 主要兩部分：(1)建立Look into Person(LIP)數據集；(2)提出self-supervised structure-sensitive
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相關文章
- 1. [paper] Look Into Person
- 2. 論文閱讀——Attention U-Net: Learning Where to Look for the Pancreas
- 3. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 4. Machine Learning & Deep Learning 論文閱讀筆記
- 5. 【論文閱讀】Improving Person Re-identification by Attribute and Identity Learning
- 6. 【論文閱讀】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
- 7. [論文閱讀]Learning Discriminative Features with Multiple Granularityfor Person Re-Identification
- 8. 《論文閱讀》Unsupervised Person Re-identification via Softened Similarity Learning
- 9. 論文閱讀：Dual Supervised Learning
- 10. Incorporating biological structure into machine learning models in biomedicine（論文閱讀報告）