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Found 4 papers, 1 papers with code
Enriching a Fashion Knowledge Graph from Product Textual Descriptions
We use a transfer learning based approach to train an NER module on a small amount of manually labeled data, followed by an EL module that links the previously identified named entities to the appropriate entities within the FKG.
Pose Guided Attention for Multi-label Fashion Image Classification
We propose a compact framework with guided attention for multi-label classification in the fashion domain.
A Unified Model with Structured Output for Fashion Images Classification
A picture is worth a thousand words.
A Context Aware and Video-Based Risk Descriptor for Cyclists
From smartphone sequences of images, this generic framework is able to automatically identify events considering different risk criteria based on the cyclist's motion and object detection.
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