TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/LIGA-Stereo

LIGA-Stereo

Reported on 18 benchmarks across 6 tasks · 1 paper · 18 SOTA

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

Methodology12 results

  • 3DonKITTI Cars Moderate
    AP75· 2021-08-18
    64.66
    best: 67.37 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 3DonKITTI Cyclists Moderate
    AP50· 2021-08-18
    36.86
    best: 43.9 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 3DonKITTI Pedestrians Moderate
    AP50· 2021-08-18
    30
    best: 32.74 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 2D ClassificationonKITTI Cars Moderate
    AP75· 2021-08-18
    64.66
    best: 67.37 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 2D ClassificationonKITTI Cyclists Moderate
    AP50· 2021-08-18
    36.86
    best: 43.9 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 2D ClassificationonKITTI Pedestrians Moderate
    AP50· 2021-08-18
    30
    best: 32.74 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 2D Object DetectiononKITTI Cars Moderate
    AP75· 2021-08-18
    64.66
    best: 67.37 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 2D Object DetectiononKITTI Cyclists Moderate
    AP50· 2021-08-18
    36.86
    best: 43.9 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 2D Object DetectiononKITTI Pedestrians Moderate
    AP50· 2021-08-18
    30
    best: 32.74 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 16konKITTI Cars Moderate
    AP75· 2021-08-18
    64.66
    best: 67.37 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 16konKITTI Cyclists Moderate
    AP50· 2021-08-18
    36.86
    best: 43.9 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 16konKITTI Pedestrians Moderate
    AP50· 2021-08-18
    30
    best: 32.74 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258

Computer Vision6 results

  • Object DetectiononKITTI Cars Moderate
    AP75· 2021-08-18
    64.66
    best: 67.37 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • Object DetectiononKITTI Cyclists Moderate
    AP50· 2021-08-18
    36.86
    best: 43.9 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • Object DetectiononKITTI Pedestrians Moderate
    AP50· 2021-08-18
    30
    best: 32.74 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 3D Object DetectiononKITTI Cars Moderate
    AP75· 2021-08-18
    64.66
    best: 67.37 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 3D Object DetectiononKITTI Cyclists Moderate
    AP50· 2021-08-18
    36.86
    best: 43.9 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258
  • 3D Object DetectiononKITTI Pedestrians Moderate
    AP50· 2021-08-18
    30
    best: 32.74 (DSGN++)
    SOTA
    LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorarXiv:2108.08258