CLIPSE – A Minimalistic Clip-based Image Search Engine For Research | Awesome Learning to Hash Add your paper to Learning2Hash

CLIPSE -- A Minimalistic Clip-based Image Search Engine For Research

Steve Göring . Arxiv 2025 – 0 citations

[Paper]   Search on Google Scholar   Search on Semantic Scholar
Datasets Evaluation Image Retrieval Survey Paper Tools & Libraries

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.

Similar Work