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Models/LED

LED

Reported on 20 benchmarks across 4 tasks · 2 papers · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

  • DenoisingonSID SonyA7S2 x300
    PSNR (Raw)· 2023-08-07
    36.67
    SOTA
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • DenoisingonSID SonyA7S2 x300
    SSIM (Raw)· 2023-08-07
    0.915
    SOTA
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • DenoisingonSID SonyA7S2 x250
    PSNR (Raw)· 2023-08-07
    39.34
    best: 41.02 (LLD*)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • DenoisingonSID SonyA7S2 x250
    SSIM (Raw)· 2023-08-07
    0.932
    best: 0.948 (LLD*)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • DenoisingonSID SonyA7S2 x100
    PSNR (Raw)· 2023-08-07
    41.98
    best: 43.16 (PMN)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • DenoisingonSID SonyA7S2 x100
    SSIM (Raw)· 2023-08-07
    0.954
    best: 0.96 (PMN)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448

Medical6 results

  • Image DenoisingonSID SonyA7S2 x300
    PSNR (Raw)· 2023-08-07
    36.67
    SOTA
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • Image DenoisingonSID SonyA7S2 x300
    SSIM (Raw)· 2023-08-07
    0.915
    SOTA
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • Image DenoisingonSID SonyA7S2 x250
    PSNR (Raw)· 2023-08-07
    39.34
    best: 41.02 (LLD*)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • Image DenoisingonSID SonyA7S2 x250
    SSIM (Raw)· 2023-08-07
    0.932
    best: 0.948 (LLD*)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • Image DenoisingonSID SonyA7S2 x100
    PSNR (Raw)· 2023-08-07
    41.98
    best: 43.16 (PMN)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • Image DenoisingonSID SonyA7S2 x100
    SSIM (Raw)· 2023-08-07
    0.954
    best: 0.96 (PMN)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448

Adversarial6 results

  • 3D ArchitectureonSID SonyA7S2 x300
    PSNR (Raw)· 2023-08-07
    36.67
    SOTA
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • 3D ArchitectureonSID SonyA7S2 x300
    SSIM (Raw)· 2023-08-07
    0.915
    SOTA
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • 3D ArchitectureonSID SonyA7S2 x250
    PSNR (Raw)· 2023-08-07
    39.34
    best: 41.02 (LLD*)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • 3D ArchitectureonSID SonyA7S2 x250
    SSIM (Raw)· 2023-08-07
    0.932
    best: 0.948 (LLD*)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • 3D ArchitectureonSID SonyA7S2 x100
    PSNR (Raw)· 2023-08-07
    41.98
    best: 43.16 (PMN)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448
  • 3D ArchitectureonSID SonyA7S2 x100
    SSIM (Raw)· 2023-08-07
    0.954
    best: 0.96 (PMN)
    Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelarXiv:2308.03448

Knowledge Base2 results

  • Recommendation SystemsonMovieLens 20M
    Recall@20· 2021-01-04
    0.375
    best: 0.418 (Multi-Gradient Descent)
    Lightweight representation learning for efficient and scalable recommendationarXiv:2101.00870
  • Recommendation SystemsonMovieLens 20M
    Recall@50· 2021-01-04
    0.516
    best: 0.553 (RecVAE)
    Lightweight representation learning for efficient and scalable recommendationarXiv:2101.00870