Mix and Match: Joint Model for Clothing and Attribute Recognition
1.Introduction: 作者想驗證這樣一個假說，即共同考慮多樣的服飾和屬性相比獨立的進行檢測是否能提升檢測的準確率。例如人們不會同時穿裙子和長褲，因此服飾之間存在着這樣的排他性的關聯。不同於以往的基於像素級別的分析，本文是基於衣物飾品的語義級別來考慮的。 本文的實現是基於 Conditional Random Field的二階聯合模型，給出一張圖片考慮其對應的服飾的概率分佈，輸出最大後驗分
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相關文章
- 1. 《VideoBERT: A Joint Model for Video and Language Representation Learning》
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