329 citations · 386 across the 19 of their papers we have counts for
3 papers · 1 filter
Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition
Roshanak Zakizadeh, Yu Qian, Michele Sasdelli +1
In this paper, we present a method for instance ranking and retrieval at fine-grained level based on the global features extracted from a multi-attribute recognition model which is…
Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition
Roshanak Zakizadeh, Michele Sasdelli, Yu Qian +1
DeepFashion is a widely used clothing dataset with 50 categories and more than overall 200k images where each image is annotated with fine-grained attributes. This dataset is often…
FineTag: Multi-attribute Classification at Fine-grained Level in Images
Roshanak Zakizadeh, Michele Sasdelli, Yu Qian +1
In this paper, we address the extraction of the fine-grained attributes of an instance as a `multi-attribute classification' problem. To this end, we propose an end-to-end architec…