Clothing Attribute Recognition
2 papers with code • 1 benchmarks • 1 datasets
Clothing attribute recognition is the task of automatically identifying and categorizing various characteristics and attributes associated with clothing items in images
Benchmarks
These leaderboards are used to track progress in Clothing Attribute Recognition
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Clothing Attributes Dataset
Most implemented papers
Efficient 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 tasks in vision.
Label2Label: A Language Modeling Framework for Multi-Attribute Learning
As each sample is annotated with multiple attribute labels, these "words" will naturally form an unordered but meaningful "sentence", which depicts the semantic information of the corresponding sample.
