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Underwater Ranker: Learn Which Is Better and How to Be Better
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add pre-trained URanker loss | WaterNet · UIEB | PSNR: 21.814 -> 21.926 | Helped |
| add pre-trained URanker loss | WaterNet · UIEB | SSIM: 0.9194 -> 0.9244 | Helped |
| add pre-trained URanker loss | Ucolor · UIEB | PSNR: 20.433 -> 20.686 | Helped |
| add pre-trained URanker loss | Ucolor · UIEB | SSIM: 0.8963 -> 0.8987 | Helped |
| add pre-trained URanker loss | NU²Net · UIEB | PSNR: 22.419 -> 22.669 | Helped |
| add pre-trained URanker loss | NU²Net · UIEB | SSIM: 0.9227 -> 0.9246 | Helped |
| add histogram prior module (ablation) | URanker · URankerSet test | SRCC: 0.8585 -> 0.8655 | Helped |
| add histogram prior module (ablation) | URanker · URankerSet test | KRCC: 0.7381 -> 0.7402 | Helped |
| replace direct connection with dynamic connection (ablation) | URanker · URankerSet test | SRCC: 0.8478 -> 0.8655 | Helped |
| replace direct connection with dynamic connection (ablation) | URanker · URankerSet test | KRCC: 0.7219 -> 0.7402 | Helped |
| replace neighbour connection with dynamic connection (ablation) | URanker · URankerSet test | SRCC: 0.8589 -> 0.8655 | Helped |
| replace neighbour connection with dynamic connection (ablation) | URanker · URankerSet test | KRCC: 0.7363 -> 0.7402 | Helped |
Closest papers by meaning
- UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement (CVPR 2024 · similarity 0.89)
- WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration (AAAI 2025 · similarity 0.86)
- Adaptive Dual-domain Learning for Underwater Image Enhancement (AAAI 2025 · similarity 0.86)
- Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement (AAAI 2024 · similarity 0.85)
- Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion (CVPR 2024 · similarity 0.85)
- Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset (ICML 2024 · similarity 0.85)
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