RDNet: Region Proportion-Aware Dynamic Adaptive Salient Object Detection Network in Optical Remote Sensing Images | ScienceToStartup | ScienceToStartup

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References (67)

[1]

Breaking Barriers, Localizing Saliency: A Large-Scale Benchmark and Baseline for Condition-Constrained Salient Object Detection

2025Runmin Cong, Zhiyang Chen et al.

[2]

Empowering DINO Representations for Underwater Instance Segmentation via Aligner and Prompter

2025Zhiyang Chen, Chen Zhang et al.

[3]

Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation

Founder's Pitch

"RDNet enhances salient object detection in remote sensing images by addressing scale variations and localization challenges."

Computer Vision•Score: 3•View PDF ↗

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RDNet: Region Proportion-Aware Dynamic Adaptive Salient Object Detection Network in Optical Remote Sensing Images

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References (67)

Founder's Pitch

"RDNet enhances salient object detection in remote sensing images by addressing scale variations and localization challenges."

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RDNet: Region Proportion-Aware Dynamic Adaptive Salient Object Detection Network in Optical Remote Sensing Images

BUILDER'S SANDBOX

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Startup Essentials

References (67)

Founder's Pitch

"RDNet enhances salient object detection in remote sensing images by addressing scale variations and localization challenges."

Commercial Viability Breakdown

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