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Models/Res2Net101+HTC

Res2Net101+HTC

Reported on 30 benchmarks across 5 tasks · 1 paper · 15 SOTA

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

Methodology24 results

  • 3DonCOCO minival
    APL· 2019-04-02
    62.1
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 3DonCOCO minival
    APM· 2019-04-02
    51.6
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 3DonCOCO minival
    APS· 2019-04-02
    28.6
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D ClassificationonCOCO minival
    APL· 2019-04-02
    62.1
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D ClassificationonCOCO minival
    APM· 2019-04-02
    51.6
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D ClassificationonCOCO minival
    APS· 2019-04-02
    28.6
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D Object DetectiononCOCO minival
    APL· 2019-04-02
    62.1
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D Object DetectiononCOCO minival
    APM· 2019-04-02
    51.6
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D Object DetectiononCOCO minival
    APS· 2019-04-02
    28.6
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 16konCOCO minival
    APL· 2019-04-02
    62.1
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 16konCOCO minival
    APM· 2019-04-02
    51.6
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 16konCOCO minival
    APS· 2019-04-02
    28.6
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 3DonCOCO minival
    AP50· 2019-04-02
    66.5
    best: 82.1 (EVA)
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 3DonCOCO minival
    AP75· 2019-04-02
    51.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 3DonCOCO minival
    box AP· 2019-04-02
    47.5
    best: 66 (PE_spatial (DETA))
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D ClassificationonCOCO minival
    AP50· 2019-04-02
    66.5
    best: 82.1 (EVA)
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D ClassificationonCOCO minival
    AP75· 2019-04-02
    51.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D ClassificationonCOCO minival
    box AP· 2019-04-02
    47.5
    best: 66 (PE_spatial (DETA))
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D Object DetectiononCOCO minival
    AP50· 2019-04-02
    66.5
    best: 82.1 (EVA)
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D Object DetectiononCOCO minival
    AP75· 2019-04-02
    51.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 2D Object DetectiononCOCO minival
    box AP· 2019-04-02
    47.5
    best: 66 (PE_spatial (DETA))
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 16konCOCO minival
    AP50· 2019-04-02
    66.5
    best: 82.1 (EVA)
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 16konCOCO minival
    AP75· 2019-04-02
    51.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • 16konCOCO minival
    box AP· 2019-04-02
    47.5
    best: 66 (PE_spatial (DETA))
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169

Computer Vision6 results

  • Object DetectiononCOCO minival
    APL· 2019-04-02
    62.1
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • Object DetectiononCOCO minival
    APM· 2019-04-02
    51.6
    best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • Object DetectiononCOCO minival
    APS· 2019-04-02
    28.6
    best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • Object DetectiononCOCO minival
    AP50· 2019-04-02
    66.5
    best: 82.1 (EVA)
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • Object DetectiononCOCO minival
    AP75· 2019-04-02
    51.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169
  • Object DetectiononCOCO minival
    box AP· 2019-04-02
    47.5
    best: 66 (PE_spatial (DETA))
    Res2Net: A New Multi-scale Backbone ArchitecturearXiv:1904.01169