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Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition
March 12, 2024, 4:47 a.m. | Junde Wu, Jiayuan Zhu, Min Xu, Yueming Jin
cs.CV updates on arXiv.org arxiv.org
Abstract: Some visual recognition tasks are more challenging then the general ones as they require professional categories of images. The previous efforts, like fine-grained vision classification, primarily introduced models tailored to specific tasks, like identifying bird species or car brands with limited scalability and generalizability. This paper aims to design a scalable and explainable model to solve Professional Visual Recognition tasks from a generic standpoint. We introduce a biologically-inspired structure named Pro-NeXt and reveal that Pro-NeXt …
abstract arxiv bird birds brands car cars classification cs.cv fine-grained general images professional recognition scalable species specific tasks tasks type vision visual
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