Squeezed fire binary segmentation model using convolutional neural network for outdoor images on embedded device

Research article (Machine Vision and Applications, 2021) · cited 13× · AI/ML
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Squeezed fire binary segmentation model using convolutional neural network for outdoor images on embedded device

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Squeezed fire binary segmentation model using convolutional neural network for outdoor images on embedded device is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Squeezed fire binary segmentation model using convolutional neural network for outdoor images on embedded device. Retrieved May 24, 2026, from https://4ort.xyz/entity/squeezed-fire-binary-segmentation-model-using-convolutional-neural-network-for-outdoor-images-on-embedded-device
MLA “Squeezed fire binary segmentation model using convolutional neural network for outdoor images on embedded device.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/squeezed-fire-binary-segmentation-model-using-convolutional-neural-network-for-outdoor-images-on-embedded-device.
BibTeX @misc{4ortxyz_squeezed-fire-binary-segmentation-model-using-convolutional-neural-network-for-outdoor-images-on-embedded-device_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Squeezed fire binary segmentation model using convolutional neural network for outdoor images on embedded device}}, year = {2026}, url = {https://4ort.xyz/entity/squeezed-fire-binary-segmentation-model-using-convolutional-neural-network-for-outdoor-images-on-embedded-device}, note = {Accessed: 2026-05-24}}
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