Toward general object search in open reality

Abstract Real-world scenarios are inherently dynamic and open-ended, necessitating that current deep models adapt to general objects in open realities to be practically useful. In this paper, we extend a valuable computer vision task called General Object Search in Open Reality (GOSO). The main obje...

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Bibliographic Details
Main Authors: Gang Shen, Wenjun Ma, Guangyao Chen, Yonghong Tian
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-97251-5
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