tomassykora/siamese-img-quality-assessment

Image quality assessment using siamese convolutional neural network architecture

siamese-img-quality-assessment's Issues

MSU Video Quality Metrics Benchmark Invitation

Hello! We kindly invite you to participate in our video quality metrics benchmark. You can submit siamese-iqa (or any other your metrics) to the benchmark, following the submission steps, described here. The dataset distortions refer to compression artifacts on professional and user-generated content. The full dataset is used to measure methods overall performance, so we do not share it to avoid overfitting. Nevertheless, we provided the open part of it (around 1,000 videos) within our paper "Video compression dataset and benchmark of learning-based video-quality metrics", accepted to NeurIPS 2022.