【論文理解】Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images
本博記錄爲滷煮理解，如有疏漏，請指正。轉載請註明出處。 滷煮：非文藝小燕兒 這是由西南交大和阿里巴巴共同完成的一篇CVPR2017。 論文的目標就是根據視頻中人物穿着的衣服準確的從購物網站中檢索出同款。 先上文章系統網絡結構圖： 文章採用了fasterRCNN進行服裝檢測，負責從整圖中摳出服裝所在位置，減少紛紛擾擾的背景干擾。 對於視頻幀，在初始幀使用fasterRCNN檢測出服裝區域後，利用KC
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相關文章
- 1. 【論文理解】Where to Buy It: Matching Street Clothing Photos in Online Shops
- 2. 論文閱讀：Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos
- 3. UniPose: Unified Human Pose Estimation in Single Images and Videos
- 4. Video Google: A Text Retrieval Approach to Object Matching in Videos
- 5. Online Instance Matching Loss的理解
- 6. Cappasity: A new online shopping experience
- 7. A1044. Shopping in Mars (25)
- 8. 圖像檢索：Where to Buy It: Matching Street Clothing Photos in Online Shops
- 9. 論文閱讀理解 - DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
- 10. How Does Alibaba Cloud Power the Biggest Online Shopping Festival?