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🎄 T-24 hours until #AdventOfCode 2024! 🎄

Happy to share that this paper got accepted at WACV 2025 WACV. The code is updated for easy use :) Feel free to check it out! Wish everyone a happy NY🥳 arxiv: arxiv.org/pdf/2406.16204 code: github.com/weitong8591/vop

ILIAS: Instance-Level Image retrieval At Scale Giorgos Kordopatis-Zilos, Vladan Stojnić , Anna Manko, Pavel Šuma, Nikolaos-Antonios Ypsilantis , Nikos Efthymiadis, Zakaria Laskar, Jiří Matas, Ondřej Chum, Giorgos Tolias tl;dr: new retrieval dataset with guaranteed GT. SigLIP rules. arxiv.org/abs/2502.11748 1/

ILIAS is a large-scale dataset for evaluation on Instance-Level Image retrieval At Scale. It is designed to support research in image-to-image and text-to-image retrieval for particular objects and serves as a benchmark for evaluating foundation models and retrieval techniques

📢 ‼️ 📢 ‼️ New blog post alert ‼️ 📢 ‼️ 📢 We are finally publishing our blog post about ImageNet klarajanouskova.github.io/ImageNet/. Not only does it have many cute animals 🦦 🐈 🐋 , it also provides an overview of known issues, as well as new insights.

Exciting News! Shoutout to Hugging Face🤗 for hosting ILIAS in its full scale! You can now easily download it via: huggingface.co/datasets/vrg-p… This is a milestone in i2i and t2i retrieval, paving the way for significant advancements. Huge thanks to HF team for their support!

🚨 Call for Papers! 7th Instance-Level Recognition and Generation Workshop (ILR+G) at #ICCV2025 📍 Honolulu, Hawaii 🌺 📅 October 19–20, 2025 🌐 ilr-workshop.github.io/ICCVW2025/ in-proceedings deadline: June 7 out-of-proceedings deadline: June 30 #ICCV2025

One of the biggest bottlenecks in deploying visual AI and computer vision is annotation, which can be both costly and time-consuming. Today, we’re introducing Verified Auto Labeling, a new approach to AI-assisted annotation that achieves up to 95% of human-level performance while