arXiv:2504.17643
공식 코드 · Papers with Code
CLIPSE -- a minimalistic CLIP-based image search engine for research
원문 초록
A brief overview of CLIPSE, a self-hosted image search engine with the main application of research, is provided. In general, CLIPSE uses CLIP embeddings to process the images and also the text queries. The overall framework is designed with simplicity to enable easy extension and usage. Two benchmark scenarios are described and evaluated, covering indexing and querying time. It is shown that CLIPSE is capable of handling smaller datasets; for larger datasets, a distributed approach with several instances should be considered.
함께 살펴볼 논문
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RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features
MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval
Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning
Improving Personalized Search with Regularized Low-Rank Parameter Updates
SORCE: Small Object Retrieval in Complex Environments
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
토론
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