Papers Multimodal Attribute Value Extraction
“Multimodal Attribute Value Extraction” 태그가 달린 논문 4편 · 필터 해제
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
Existing datasets for attribute value extraction (AVE) predominantly focus on explicit attribute values while neglecting the implicit ones, lack product images, are often not publicly available, and lack an in-depth huma…
AttributeAttribute Value ExtractionBenchmarkingMultimodal Attribute Value ExtractionEIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM
In e-commerce, accurately extracting product attribute values from multimodal data is crucial for improving user experience and operational efficiency of retailers. However, previous approaches to multimodal attribute va…
AttributeAttribute Value ExtractionMultimodal Attribute Value ExtractionMultimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
Product attribute values are essential in many e-commerce scenarios, such as customer service robots, product recommendations, and product retrieval. While in the real world, the attribute values of a product are usually…
AttributeAttribute Value ExtractionMultimodal Attribute Value ExtractionRetrievalMultimodal Attribute Extraction
The broad goal of information extraction is to derive structured information from unstructured data. However, most existing methods focus solely on text, ignoring other types of unstructured data such as images, video an…
AttributeAttribute ExtractionMultimodal Attribute Value Extraction