Clothing Attribute Recognition
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Benchmarks
Most implemented
Label2Label: A Language Modeling Framework for Multi-Attribute Learning
Efficient Relative Attribute Learning using Graph Neural Networks
Papers
Label2Label: A Language Modeling Framework for Multi-Attribute Learning
Objects are usually associated with multiple attributes, and these attributes often exhibit high correlations. Modeling complex relationships between attributes poses a great challenge for multi-attribute learning. This …
AttributeClothing Attribute RecognitionFacial Attribute ClassificationLanguage Modeling+3Efficient Relative Attribute Learning using Graph Neural Networks
A sizable body of work on relative attributes provides compelling evidence that relating pairs of images along a continuum of strength pertaining to a visual attribute yields significant improvements in a wide variety of…
AttributeClothing Attribute RecognitionMulti-task CNN Model for Attribute Prediction
This paper proposes a joint multi-task learning algorithm to better predict attributes in images using deep convolutional neural networks (CNN). We consider learning binary semantic attributes through a multi-task CNN mo…
AttributeClothing Attribute RecognitionmodelMulti-Task Learning+1Describing Clothing by Semantic Attributes
Describing clothing appearance with semantic attributes is an appealing technique for many important applications. In this paper, we propose a fully automated system that is capable of generating a list of nameable attr…
AttributeClothing Attribute Recognition