Dimensions overall score 8.0

• The proposed method achieves state-of-the-art performance across seven evaluation metrics on eight datasets.result 95%
• The model contains only 3,880 inference parameters.technical 95%
• The model achieves an inference speed of 409 FPS.technical 95%
• The method improves the UCIQE score by 29.7% under diverse environmental conditions.result 95%
• An Adaptive Weighted Channel Compensation module is used for dynamic color recovery of red and blue channels using the green channel as a reference.method 95%
• A Multi-branch Re-parameterized Dilated Convolution is designed for large receptive field representation with low computational overhead.method 95%
• A Statistical Global Color Adjustment module optimizes overall color performance based on statistical priors.method 95%
• The proposed method is suitable for real-time underwater missions due to its low parameter count and high inference speed.technical 90%

Competitive landscape

Competitor map is still being generated for this paper. Enable generation or check back soon.

Startup potential card