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論文閱讀理解 - Look into Person: Self-supervised Structure-sensitive Learning
時間 2020-12-25
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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)
>>更多相關文章<<