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MIMONet: Multi-scale Input and Multi-scale Output Network for Salient Object Detection

arXiv · AI, language, vision and robotics · article · Aug 26, 2026 · UTC

The existing methods for saliency detection task focus on the application of multi-level features, aiming to take advantage of the respective strengths of high- and low-level features. However, because the inputs of these models are single-size images, their multi-level features have difficulty in learning the knowledge of size variations of salient objects. Object-scale variation learning has great potential for detecting multi-scale objects, which has not been fully explored by existing methods. To improve the recognition ability of a model for objects with different sizes, we are inspired b

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Evidence & attribution

First collected: 2026-09-21T09:22:01.459Z. This is not the publication date.