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Multimodal Attribute Value Extraction

Multimodal Attribute Value Extraction aims at extracting attribute values based on a given set of attributes from multi-modal input such as text plus images. Multimodal Attribute value extraction is for example applied in the context of e-commerce where product attribute values are extracted from product offers.

Papers

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Showing 1–4 of 4 papers

TitleStatusHype
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value ExtractionCode1
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce ProductCode1
Multimodal Attribute ExtractionCode0
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM—0
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