models may suffer from high false alarm rates. This may cause unnecessary mobilization of people (Chaturvedi et al.2022a), and repeated false alarms may also turn fire managers and the general public unresponsive and lead to disastrous implications (Barnes et al.2007). The generalization capabilit...
2022a), and repeated false alarms may also turn fire managers and the general public unresponsive and lead to disastrous implications (Barnes et al. 2007). The generalization capability of deep learning-based AI models is one of the most important research domains. AI models are expected to ...
To address the issue of small targets for fires, where false alarms and omissions often occur in obstructed and complex forest fire scenarios, DySample is introduced. A point-based sampling technique is employed by DySample, and it also incorporates a learning-based method for upsampling. This ...