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/hybrid incremental net

hybrid incremental net

Reported on 10 benchmarks across 5 tasks · 1 paper · 10 SOTA

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

Methodology8 results

  • 3DonBDD100K val
    mAP@0.5· 2019-09-28
    45.7
    SOTA
    On Generalizing Detection Models for Unconstrained EnvironmentsarXiv:1909.13080
  • 3DonIndia Driving Dataset
    mAP@0.5· 2019-09-28
    31.57
    best: 81.1
    SOTA
    On Generalizing Detection Models for Unconstrained EnvironmentsarXiv:1909.13080
  • 2D ClassificationonBDD100K val
    mAP@0.5· 2019-09-28
    45.7
    SOTA
    On Generalizing Detection Models for Unconstrained EnvironmentsarXiv:1909.13080
  • 2D ClassificationonIndia Driving Dataset
    mAP@0.5· 2019-09-28
    31.57
    best: 81.1
    SOTA
    On Generalizing Detection Models for Unconstrained EnvironmentsarXiv:1909.13080
  • 2D Object DetectiononBDD100K val
    mAP@0.5· 2019-09-28
    45.7
    SOTA
    On Generalizing Detection Models for Unconstrained EnvironmentsarXiv:1909.13080
  • 2D Object DetectiononIndia Driving Dataset
    mAP@0.5· 2019-09-28
    31.57
    best: 81.1
    SOTA
    On Generalizing Detection Models for Unconstrained EnvironmentsarXiv:1909.13080
  • 16konBDD100K val
    mAP@0.5· 2019-09-28
    45.7
    SOTA
    On Generalizing Detection Models for Unconstrained EnvironmentsarXiv:1909.13080
  • 16konIndia Driving Dataset
    mAP@0.5· 2019-09-28
    31.57
    best: 81.1
    SOTA
    On Generalizing Detection Models for Unconstrained EnvironmentsarXiv:1909.13080

Computer Vision2 results

  • Object DetectiononBDD100K val
    mAP@0.5· 2019-09-28
    45.7
    SOTA
    On Generalizing Detection Models for Unconstrained EnvironmentsarXiv:1909.13080
  • Object DetectiononIndia Driving Dataset
    mAP@0.5· 2019-09-28
    31.57
    best: 81.1
    SOTA
    On Generalizing Detection Models for Unconstrained EnvironmentsarXiv:1909.13080