Long-Range Dependencies and High-Order Spatial Pooling for Deep Model-Based Full-Reference Image Quality Assessment
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DOI: 10.1109/access.2020.2984886
Abstract: Deep Learning based image quality assessment (IQA) has been shown to greatly improve the quality score prediction accuracy of images with single distortion. However, because these models lack generalizability and the accuracy of multidistortion-based image… read more here.
Keywords: quality; long range; image; image quality ... See more keywords
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3013142
Abstract: Learning to capture dependencies between spatial positions is essential to many visual tasks, especially the dense labeling problems like scene parsing. Existing methods can effectively capture long-range dependencies with self-attention mechanism while short ones by… read more here.
Keywords: ordnet; range; omni range; long range ... See more keywords