Fire anomaly detection based on low-rank adaption fine-tuning and localization using Gradient Filtering

Published: 01 Jan 2025, Last Modified: 07 Apr 2025Appl. Soft Comput. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•LRA-SwinCB improves performance of fire detection compared to previous methods.•LRA-SwinCB reduced trainable params, enhances adaptability to different scenarios.•Gradient Filtering detects precise localization information of fire regions.
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