#ImageRetrieval

IB Teguh TM

@ibteguh.bsky.social

4 months ago

Unlock Remarkable Image Retrieval PGVector: Your 5-Step Guide to Visual Search Excellence Unlock Remarkable Image Retrieval PGVector: Your 5-Step Guide to Visual Search Excellence Have you ever wondered how powerful platforms like Google Images, e-commerce sites, or even social media applications instantly find visually similar content from vast datasets? The secret lies in advanced image retrieval techniques. In an age dominated by visual information, the ability to effectively search and organize images based on their content, rather than just text tags, is not just a luxury—it's a necessity. This article will guide you through the exciting world of content-based image retrieval, specifically focusing on how to build a robust system using…

Unlock the power of visual search with Image Retrieval PGVector! Learn to build a system using PostgreSQL, MinIO, & image embeddings. Check it out! #ImageRetrieval #PGVector #VisualSearch

GetNews.me

@getnews-me.bsky.social

5 months ago

Chain-of-Thought Re‑Ranking Boosts Image Retrieval with Multimodal LLMs

CoTRR integrates LLMs for listwise re‑ranking, achieving top results on five image‑retrieval datasets (text‑to‑image, composed, chat). Paper posted Sep 2025 (arXiv:2509.14746). getnews.me/chain-of-thought-re-rank... #chainofthought #imageretrieval

Harald Klinke

@harald-klinke.de

1 year ago

Backward induction-based deep image search Conditional image retrieval (CIR), which involves retrieving images by a query image along with user-specified conditions, is essential in computer vision research for efficient image search and autom...

New research introduces "Backward Search" for Conditional Image Retrieval without needing expensive datasets! Achieves mAP@10 of 0.541 on WikiArt, aPY, and CUB datasets—outperforming existing methods. Student model runs up to 160x faster. 🚀 #ComputerVision #AI #ImageRetrieval

Harald Klinke

@hxxxkxxx.det.social.ap.brid.gy

1 year ago

New research introduces "Backward Search" for Conditional Image Retrieval without needing expensive datasets! Achieves mAP@10 of 0.541 on WikiArt, aPY, and CUB datasets—outperforming existing methods. Student model runs up to 160x faster. 🚀 #ComputerVision #AI #ImageRetrieval […]