March 7, 2024, 5:45 a.m. | Hao Wang, Sayed Pedram Haeri Boroujeni, Xiwen Chen, Ashish Bastola, Huayu Li, Abolfazl Razi

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.03463v1 Announce Type: new
Abstract: The rise of machine learning in recent years has brought benefits to various research fields such as wide fire detection. Nevertheless, small object detection and rare object detection remain a challenge. To address this problem, we present a dataset automata that can generate ground truth paired datasets using diffusion models. Specifically, we introduce a mask-guided diffusion framework that can fusion the wildfire into the existing images while the flame position and size can be precisely …

abstract arxiv benefits challenge cs.cv dataset detection diffusion fields fire generate image machine machine learning object research small synthesis truth type wildfire

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