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Salient Object Detection From Arbitrary Modalities
May 7, 2024, 4:48 a.m. | Nianchang Huang, Yang Yang, Ruida Xi, Qiang Zhang, Jungong Han, Jin Huang
cs.CV updates on arXiv.org arxiv.org
Abstract: Toward desirable saliency prediction, the types and numbers of inputs for a salient object detection (SOD) algorithm may dynamically change in many real-life applications. However, existing SOD algorithms are mainly designed or trained for one particular type of inputs, failing to be generalized to other types of inputs. Consequentially, more types of SOD algorithms need to be prepared in advance for handling different types of inputs, raising huge hardware and research costs. Differently, in this …
abstract algorithm algorithms applications arxiv change cs.cv detection generalized however inputs life numbers object prediction type types
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