挑战4K照片无参考质量评估，推动轻量高效模型落地。
AIM 2024 Challenge on UHD Blind Photo Quality Assessment
- 基于6073张4K高清图，设计轻量化模型架构与训练策略。
- 在50G MACs预算内实现高相关性（SRCC>0.92）与低误差（MAE<0.35）。
- 适合图像处理、压缩与边缘设备部署的高质量评估场景。
我们推出AIM 2024 UHD-IQA挑战赛，旨在推进现代高分辨率照片的无参考图像质量评估（NR-IQA）任务。该挑战基于最新发布的UHD-IQA基准数据库，包含6,073张UHD-1（4K）图像，由专家评级提供感知质量标签。与以往数据集不同，UHD-IQA聚焦于技术精湛、美学水准高的照片，反映数字摄影日益提升的标准。挑战要求参赛者开发高效且有效的NR-IQA模型，在50G MACs计算预算内实现对4K图像的高预测性能，以支持边缘设备部署和大规模图像处理。评价指标包括相关性（SRCC、PLCC、KRCC）、绝对误差（MAE、RMSE）及计算效率（G MACs）。获胜方案采用知识蒸馏、低精度推理和多尺度训练等技术。该挑战推动了高分辨率图像质量评估模型的发展，为图像筛选、增强与压缩等应用提供实用解决方案。
原文摘要 · Abstract (English)
We introduce the AIM 2024 UHD-IQA Challenge, a competition to advance the No-Reference Image Quality Assessment (NR-IQA) task for modern, high-resolution photos. The challenge is based on the recently released UHD-IQA Benchmark Database, which comprises 6,073 UHD-1 (4K) images annotated with perceptual quality ratings from expert raters. Unlike previous NR-IQA datasets, UHD-IQA focuses on highly aesthetic photos of superior technical quality, reflecting the ever-increasing standards of digital photography. This challenge aims to develop efficient and effective NR-IQA models. Participants are tasked with creating novel architectures and training strategies to achieve high predictive performance on UHD-1 images within a computational budget of 50G MACs. This enables model deployment on edge devices and scalable processing of extensive image collections. Winners are determined based on a combination of performance metrics, including correlation measures (SRCC, PLCC, KRCC), absolute error metrics (MAE, RMSE), and computational efficiency (G MACs). To excel in this challenge, participants leverage techniques like knowledge distillation, low-precision inference, and multi-scale training. By pushing the boundaries of NR-IQA for high-resolution photos, the UHD-IQA Challenge aims to stimulate the development of practical models that can keep pace with the rapidly evolving landscape of digital photography. The innovative solutions emerging from this competition will have implications for various applications, from photo curation and enhancement to image compression.
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