FADE: A Task-Agnostic Upsampling Operator for Encoder–Decoder Architectures

The goal of this work is to develop a task-agnostic feature upsampling operator for dense prediction where the operator is required to facilitate not only region-sensitive tasks like semantic segmentation but also detail-sensitive tasks such as image matting. Prior upsampling operators often can wor...

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Bibliographic Details
Published in:	International journal of computer vision Vol. 133; no. 1; pp. 151 - 172
Main Authors:	Lu, Hao, Liu, Wenze, Fu, Hongtao, Cao, Zhiguo
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.01.2025 Springer Nature B.V
Subjects:	Artificial Intelligence Computer Imaging Computer Science Encoders-Decoders Image Processing and Computer Vision Image segmentation Parameter sensitivity Pattern Recognition Pattern Recognition and Graphics Semantic segmentation Semantics Vision Instance segmentation Feature upsampling Semantic segmentation Object detection Image matting Dense prediction Depth estimation
ISSN:	0920-5691, 1573-1405
Online Access:	Get full text
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