Revolutionizing flame detection: Novelization in flame detection through transferring distillation for knowledge to pruned model

Author:

Tao Hongkang,Liu Jiansheng,Yang ZanORCID,Wang Guhong,Shang JieORCID,Qiu HaoboORCID,Gao LiangORCID

Funder

Nanchang University

Publisher

Elsevier BV

Reference81 articles.

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2. Alireza, S., Fatemeh, A., Abolfazl, R., Liming, Z., Peter, F., & Erik, B. (2020). The FLAME DATASET: Aerial imagery pile burn detectionusing drones (UAVS). https://dx.doi.org/10.21227/qad6-r683.

3. The effects of ultraviolet-B radiation on the toxicity of fire-fighting chemicals;Calfee;Environmental Toxicology and Chemistry,2003

4. Carrasco, J., García, S., Rueda, M. M., Das, S., & Herrera, F. (2020). Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review. Swarm and Evolutionary Computation, 54(April 2019), 100665. https://doi.org/10.1016/j.swevo.2020.100665.

5. No Adversaries to zero-shot Learning: Distilling an Ensemble of Gaussian Feature Generators;Cavazza;IEEE Transactions on Pattern Analysis and Machine Intelligence,2023

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