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Models/AFNet

AFNet

Reported on 40 benchmarks across 7 tasks · 1 paper · 6 SOTA

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

Methodology23 results

  • 3DonDDAD
    RMSE· 2024-03-12
    4.6
    SOTA
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonDDAD
    RMSE log· 2024-03-12
    0.154
    SOTA
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonDDAD
    absolute relative error· 2024-03-12
    0.088
    SOTA
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonKITTI Eigen split
    Delta < 1.25· 2024-03-12
    0.98
    best: 0.99 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonKITTI Eigen split
    Delta < 1.25^2· 2024-03-12
    0.997
    best: 0.999 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonKITTI Eigen split
    Delta < 1.25^3· 2024-03-12
    0.999
    best: 1 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonKITTI Eigen split
    RMSE· 2024-03-12
    1.712
    best: 1.394 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonKITTI Eigen split
    RMSE log· 2024-03-12
    0.069
    best: 0.048 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonKITTI Eigen split
    Sq Rel· 2024-03-12
    0.132
    best: 0.224 (SfM-Revisited)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonKITTI Eigen split
    absolute relative error· 2024-03-12
    0.044
    best: 0.029 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonDDAD
    Sq Rel· 2024-03-12
    0.979
    best: 3.591 (TransDSSL)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • 3DonSOC
    Average MAE
    0.115
    best: 0.089 (UCNet-CVAE)
  • 3DonSOC
    S-Measure
    0.7
    best: 0.849 (UCNet-CVAE)
  • 3DonSOC
    mean E-Measure
    0.684
    best: 0.872 (UCNet-CVAE)
  • 2D ClassificationonSOC
    Average MAE
    0.115
    best: 0.089 (UCNet-CVAE)
  • 2D ClassificationonSOC
    S-Measure
    0.7
    best: 0.849 (UCNet-CVAE)
  • 2D ClassificationonSOC
    mean E-Measure
    0.684
    best: 0.872 (UCNet-CVAE)
  • 2D Object DetectiononSOC
    Average MAE
    0.115
    best: 0.089 (UCNet-CVAE)
  • 2D Object DetectiononSOC
    S-Measure
    0.7
    best: 0.849 (UCNet-CVAE)
  • 2D Object DetectiononSOC
    mean E-Measure
    0.684
    best: 0.872 (UCNet-CVAE)
  • 16konSOC
    Average MAE
    0.115
    best: 0.089 (UCNet-CVAE)
  • 16konSOC
    S-Measure
    0.7
    best: 0.849 (UCNet-CVAE)
  • 16konSOC
    mean E-Measure
    0.684
    best: 0.872 (UCNet-CVAE)

Computer Vision17 results

  • Depth EstimationonDDAD
    RMSE· 2024-03-12
    4.6
    SOTA
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Depth EstimationonDDAD
    RMSE log· 2024-03-12
    0.154
    SOTA
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Depth EstimationonDDAD
    absolute relative error· 2024-03-12
    0.088
    SOTA
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25· 2024-03-12
    0.98
    best: 0.99 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^2· 2024-03-12
    0.997
    best: 0.999 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^3· 2024-03-12
    0.999
    best: 1 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Depth EstimationonKITTI Eigen split
    RMSE· 2024-03-12
    1.712
    best: 1.394 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Depth EstimationonKITTI Eigen split
    RMSE log· 2024-03-12
    0.069
    best: 0.048 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Depth EstimationonKITTI Eigen split
    Sq Rel· 2024-03-12
    0.132
    best: 0.224 (SfM-Revisited)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Depth EstimationonKITTI Eigen split
    absolute relative error· 2024-03-12
    0.044
    best: 0.029 (SPIDepth)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Depth EstimationonDDAD
    Sq Rel· 2024-03-12
    0.979
    best: 3.591 (TransDSSL)
    Adaptive Fusion of Single-View and Multi-View Depth for Autonomous DrivingarXiv:2403.07535
  • Object DetectiononSOC
    Average MAE
    0.115
    best: 0.089 (UCNet-CVAE)
  • Object DetectiononSOC
    S-Measure
    0.7
    best: 0.849 (UCNet-CVAE)
  • Object DetectiononSOC
    mean E-Measure
    0.684
    best: 0.872 (UCNet-CVAE)
  • RGB Salient Object DetectiononSOC
    Average MAE
    0.115
    best: 0.089 (UCNet-CVAE)
  • RGB Salient Object DetectiononSOC
    S-Measure
    0.7
    best: 0.849 (UCNet-CVAE)
  • RGB Salient Object DetectiononSOC
    mean E-Measure
    0.684
    best: 0.872 (UCNet-CVAE)