Fashion Understanding
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Benchmarks
ModaNet Dev
Most implemented
ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations
Papers
FashionStylist: An Expert Knowledge-enhanced Multimodal Dataset for Fashion Understanding
Fashion understanding requires both visual perception and expert-level reasoning about style, occasion, compatibility, and outfit rationale. However, existing fashion datasets remain fragmented and task-specific, often f…
Fashion UnderstandingThe Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation
Fashion understanding is a hot topic in computer vision, with many applications having great business value in the market. Fashion understanding remains a difficult challenge for computer vision due to the immense divers…
Fashion Understandingimage-classificationImage Classificationobject-detection+2Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
Human fashion understanding is one crucial computer vision task since it has comprehensive information for real-world applications. This focus on joint human fashion segmentation and attribute recognition. Contrary to th…
AttributeFashion UnderstandingSegmentationSemi-Supervised Visual Representation Learning for Fashion Compatibility
We consider the problem of complementary fashion prediction. Existing approaches focus on learning an embedding space where fashion items from different categories that are visually compatible are closer to each other. H…
Fashion UnderstandingProduct RecommendationRecommendation SystemsRepresentation Learning+1ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations
Understanding clothes from a single image has strong commercial and cultural impacts on modern societies. However, this task remains a challenging computer vision problem due to wide variations in the appearance, style, …
Fashion Understandingobject-detectionObject DetectionSemantic Segmentation