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Models/MAST

MAST

Reported on 17 benchmarks across 5 tasks · 2 papers · 2 SOTA

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

Computer Vision25 results

  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2020-02-18
    67.6
    best: 93.4 (Cutie+ (base))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • VideoonDAVIS 2017 (val)
    F-measure (Recall)· 2020-02-18
    77.7
    best: 94.6 (STCN)
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • VideoonDAVIS 2017 (val)
    J&F· 2020-02-18
    65.5
    best: 90.7 (SAM2)
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2020-02-18
    63.3
    best: 87.5 (Cutie+ (base))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • VideoonDAVIS 2017 (val)
    Jaccard (Recall)· 2020-02-18
    73.2
    best: 91.4 (ISVOS (MS))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2020-02-18
    67.6
    best: 93.4 (Cutie+ (base))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • VideoonDAVIS 2017 (val)
    F-measure (Recall)· uses extra data· 2020-02-18
    77.7
    best: 94.6 (STCN)
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • VideoonDAVIS 2017 (val)
    J&F· uses extra data· 2020-02-18
    65.5
    best: 90.7 (SAM2)
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2020-02-18
    63.3
    best: 87.5 (Cutie+ (base))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • VideoonDAVIS 2017 (val)
    Jaccard (Recall)· uses extra data· 2020-02-18
    73.2
    best: 91.4 (ISVOS (MS))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2020-02-18
    67.6
    best: 93.4 (Cutie+ (base))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2020-02-18
    77.7
    best: 94.6 (STCN)
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2020-02-18
    65.5
    best: 90.7 (SAM2)
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2020-02-18
    63.3
    best: 87.5 (Cutie+ (base))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2020-02-18
    73.2
    best: 91.4 (ISVOS (MS))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2020-02-18
    67.6
    best: 93.4 (Cutie+ (base))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· uses extra data· 2020-02-18
    77.7
    best: 94.6 (STCN)
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· uses extra data· 2020-02-18
    65.5
    best: 90.7 (SAM2)
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2020-02-18
    63.3
    best: 87.5 (Cutie+ (base))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· uses extra data· 2020-02-18
    73.2
    best: 91.4 (ISVOS (MS))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2020-02-18
    67.6
    best: 93.4 (Cutie+ (base))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2020-02-18
    77.7
    best: 94.6 (STCN)
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2020-02-18
    65.5
    best: 90.7 (SAM2)
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2020-02-18
    63.3
    best: 87.5 (Cutie+ (base))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2020-02-18
    73.2
    best: 91.4 (ISVOS (MS))
    MAST: A Memory-Augmented Self-supervised TrackerarXiv:2002.07793

Knowledge Base1 result

  • Text SummarizationonHow2 300h
    ROUGE-L· 2020-10-15
    43.23
    SOTA
    MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical AttentionarXiv:2010.08021

Natural Language Processing1 result

  • Abstractive Text SummarizationonHow2 300h
    ROUGE-L· 2020-10-15
    43.23
    SOTA
    MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical AttentionarXiv:2010.08021