TinyIceNet: Low-Power SAR Sea Ice Segmentation for On-Board FPGA Inference | ScienceToStartup | ScienceToStartup

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References (15)

[1]

The AutoICE Challenge

2024Andreas Stokholm, J. Buus-Hinkler et al.

[2]

A comparative study of data input selection for deep learning-based automated sea ice mapping

2024Xinwei Chen, F. Cantu et al.

[3]

Deep learning techniques for enhanced sea-ice types classification in the Beaufort Sea via SAR imagery

Founder's Pitch

"Develop an ultra-efficient SAR sea ice segmentation tool using FPGA for real-time satellite processing."

Edge AI•Score: 7•View PDF ↗

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TinyIceNet: Low-Power SAR Sea Ice Segmentation for On-Board FPGA Inference

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References (15)

Founder's Pitch

"Develop an ultra-efficient SAR sea ice segmentation tool using FPGA for real-time satellite processing."

Commercial Viability Breakdown

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TinyIceNet: Low-Power SAR Sea Ice Segmentation for On-Board FPGA Inference

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References (15)

Founder's Pitch

"Develop an ultra-efficient SAR sea ice segmentation tool using FPGA for real-time satellite processing."

Commercial Viability Breakdown

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