#ImageRetrieval
🔥 Composed image retrieval, as it should be.

📸 i-CIR (NeurIPS 2025): a photo says which particular object, a text says how it should look.

🔍︎ Explore every composed query in our new dataset browser: vrg.fel.cvut.cz/icir/

More to come...

#ComputerVision #ImageRetrieval #AI #MultimodalSearch
i-CIR: Instance-Level Composed Image Retrieval (NeurIPS 2025)
A photo says which object, a text says how it should look. 202 instances, 1,883 composed queries, 752K curated hard negatives as hard as 40M random distractors, and an interactive dataset browser.
vrg.fel.cvut.cz
September 16, 2026 at 2:24 PM
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 […]
Original post on det.social
det.social
September 17, 2024 at 2:07 PM
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). https://getnews.me/chain-of-thought-re-ranking-boosts-image-retrieval-with-multimodal-llms/ #chainofthought #imageretrieval
September 19, 2025 at 10:31 PM
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
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...
journals.plos.org
September 17, 2024 at 2:08 PM