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Models/MSN

MSN

Reported on 30 benchmarks across 5 tasks · 3 papers · 2 SOTA

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

Natural Language Processing18 results

  • Conversational Response SelectiononDouban
    MAP
    0.587
    best: 0.651 (SEMSOL(W/o utterances))
  • Conversational Response SelectiononDouban
    MRR
    0.632
    best: 0.688 (Uni-Enc+BERT-FP)
  • Conversational Response SelectiononDouban
    P@1
    0.47
    best: 0.518 (Uni-Enc+BERT-FP)
  • Conversational Response SelectiononDouban
    R10@1
    0.295
    best: 0.33 (SEMSOL)
  • Conversational Response SelectiononDouban
    R10@2
    0.452
    best: 0.557 (Uni-Enc+BERT-FP)
  • Conversational Response SelectiononDouban
    R10@5
    0.788
    best: 0.877 (SEMSOL(W/o utterances))
  • Conversational Response SelectiononRRS
    MAP
    0.55
    best: 0.702 (BERT-FP)
  • Conversational Response SelectiononRRS
    MRR
    0.563
    best: 0.715 (SA-BERT+BERT-FP)
  • Conversational Response SelectiononRRS
    P@1
    0.383
    best: 0.555 (SA-BERT+BERT-FP)
  • Conversational Response SelectiononRRS
    R10@1
    0.343
    best: 0.497 (SA-BERT+BERT-FP)
  • Conversational Response SelectiononRRS
    R10@2
    0.498
    best: 0.708 (BERT-FP)
  • Conversational Response SelectiononRRS
    R10@5
    0.798
    best: 0.931 (SA-BERT+BERT-FP)
  • Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
    R10@1
    0.8
    best: 0.918 (Dial-MAE)
  • Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
    R10@2
    0.899
    best: 0.965 (BERT-FP+EDHNS)
  • Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
    R10@5
    0.978
    best: 0.994 (BERT-FP+EDHNS)
  • Conversational Response SelectiononE-commerce
    R10@1
    0.606
    best: 0.957 (BERT-FP+EDHNS)
  • Conversational Response SelectiononE-commerce
    R10@2
    0.77
    best: 0.986 (BERT-FP+EDHNS)
  • Conversational Response SelectiononE-commerce
    R10@5
    0.937
    best: 0.997 (BERT-FP+EDHNS)

Computer Vision12 results

  • Point Cloud GenerationonShapeNet
    F-Score@1%· 2019-11-30
    0.705
    best: 0.845 (AdaPoinTr)
    SOTA
    Morphing and Sampling Network for Dense Point Cloud CompletionarXiv:1912.00280
  • Point Cloud CompletiononShapeNet
    F-Score@1%· 2019-11-30
    0.705
    best: 0.845 (AdaPoinTr)
    SOTA
    Morphing and Sampling Network for Dense Point Cloud CompletionarXiv:1912.00280
  • Surgical phase recognitiononCholec80
    F1· 2023-08-23
    89.6
    best: 90.24 (LoViT)
    Self-Supervised Learning for Endoscopic Video AnalysisarXiv:2308.12394
  • Video Instance SegmentationonYouTube-VIS validation
    AP50· 2021-06-19
    69.4
    best: 89.3 (CAVIS(ViT-L, Online))
    MSN: Efficient Online Mask Selection Network for Video Instance SegmentationarXiv:2106.10452
  • Video Instance SegmentationonYouTube-VIS validation
    AP75· 2021-06-19
    54.9
    best: 76.2 (CAVIS(ViT-L, Online))
    MSN: Efficient Online Mask Selection Network for Video Instance SegmentationarXiv:2106.10452
  • Video Instance SegmentationonYouTube-VIS validation
    AR1· 2021-06-19
    40.1
    best: 58.3 (CAVIS(ViT-L, Online))
    MSN: Efficient Online Mask Selection Network for Video Instance SegmentationarXiv:2106.10452
  • Video Instance SegmentationonYouTube-VIS validation
    AR10· 2021-06-19
    55
    best: 73.7 (DVIS++(ViT-L, Online))
    MSN: Efficient Online Mask Selection Network for Video Instance SegmentationarXiv:2106.10452
  • Video Instance SegmentationonYouTube-VIS validation
    mask AP· 2021-06-19
    48.8
    best: 68.9 (CAVIS(ViT-L, Online))
    MSN: Efficient Online Mask Selection Network for Video Instance SegmentationarXiv:2106.10452
  • Point Cloud GenerationonShapeNet
    Chamfer Distance· 2019-11-30
    9.969
    best: 6.5 (ODGNet)
    Morphing and Sampling Network for Dense Point Cloud CompletionarXiv:1912.00280
  • Point Cloud GenerationonShapeNet
    Chamfer Distance L2· 2019-11-30
    4.758
    best: 2.723 (GRNet)
    Morphing and Sampling Network for Dense Point Cloud CompletionarXiv:1912.00280
  • Point Cloud CompletiononShapeNet
    Chamfer Distance· 2019-11-30
    9.969
    best: 6.5 (ODGNet)
    Morphing and Sampling Network for Dense Point Cloud CompletionarXiv:1912.00280
  • Point Cloud CompletiononShapeNet
    Chamfer Distance L2· 2019-11-30
    4.758
    best: 2.723 (GRNet)
    Morphing and Sampling Network for Dense Point Cloud CompletionarXiv:1912.00280