April 2, 2024, 7:47 p.m. | Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.00292v1 Announce Type: new
Abstract: Camouflaged vision perception is an important vision task with numerous practical applications. Due to the expensive collection and labeling costs, this community struggles with a major bottleneck that the species category of its datasets is limited to a small number of object species. However, the existing camouflaged generation methods require specifying the background manually, thus failing to extend the camouflaged sample diversity in a low-cost manner. In this paper, we propose a Latent Background Knowledge …

abstract applications arxiv collection community costs cs.cv datasets diffusion however images knowledge labeling lake major object perception practical retrieval retrieval-augmented small species type vision

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