QuARI: Query Adaptive Retrieval Improvement [NeurIPS'25]

This repository contains the official implementation code of NeurIPS 2025 paper: "Instance-Level Composed Image Retrieval".

ILIAS: Instance-Level Image retrieval At Scale

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

🚀 Lightning-fast computer vision models. Fine-tune SOTA models with just a few lines of code. Ready for cloud ☁️ and edge 📱 deployment.

Refine high-quality datasets and visual AI models

A curated list of prompt-based paper in computer vision and vision-language learning.

Edge Augmentation for Large Scale Sketch Recognition without Sketches