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Models/STAR

STAR

Reported on 100 benchmarks across 15 tasks · 5 papers · 33 SOTA

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

Computer Vision38 results

  • VideoonPKU-MMD
    Random Split Accuracy· 2024-04-11
    70.6
    best: 87.8 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • VideoonNTU RGB+D
    Accuracy (12 unseen classes)· 2024-04-11
    45.1
    best: 56.03 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • VideoonNTU RGB+D
    Accuracy (5 unseen classes)· 2024-04-11
    81.4
    best: 86.49 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • VideoonNTU RGB+D
    Random Split Accuracy· 2024-04-11
    77.5
    best: 93.17 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Temporal Action LocalizationonPKU-MMD
    Random Split Accuracy· 2024-04-11
    70.6
    best: 87.8 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (12 unseen classes)· 2024-04-11
    45.1
    best: 56.03 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (5 unseen classes)· 2024-04-11
    81.4
    best: 86.49 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Temporal Action LocalizationonNTU RGB+D
    Random Split Accuracy· 2024-04-11
    77.5
    best: 93.17 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action LocalizationonPKU-MMD
    Random Split Accuracy· 2024-04-11
    70.6
    best: 87.8 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action LocalizationonNTU RGB+D
    Accuracy (12 unseen classes)· 2024-04-11
    45.1
    best: 56.03 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action LocalizationonNTU RGB+D
    Accuracy (5 unseen classes)· 2024-04-11
    81.4
    best: 86.49 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action LocalizationonNTU RGB+D
    Random Split Accuracy· 2024-04-11
    77.5
    best: 93.17 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • VideoonNTU RGB+D 120
    Accuracy (10 unseen classes)· 2024-04-11
    63.3
    best: 79.99 (PGFA)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • VideoonNTU RGB+D 120
    Accuracy (24 unseen classes)· 2024-04-11
    44.3
    best: 65.06 (TDSM)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (10 unseen classes)· 2024-04-11
    63.3
    best: 79.99 (PGFA)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (24 unseen classes)· 2024-04-11
    44.3
    best: 65.06 (TDSM)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action LocalizationonNTU RGB+D 120
    Accuracy (10 unseen classes)· 2024-04-11
    63.3
    best: 79.99 (PGFA)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action LocalizationonNTU RGB+D 120
    Accuracy (24 unseen classes)· 2024-04-11
    44.3
    best: 65.06 (TDSM)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Face ReconstructiononCOFW
    NME (inter-pupil)· 2023-06-05
    4.62
    best: 4.79 (SLPT)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Face Reconstructionon300W
    NME_inter-ocular (%, Challenge)· 2023-06-05
    4.32
    best: 8.2 (ASMNet)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Face Reconstructionon300W
    NME_inter-ocular (%, Common)· 2023-06-05
    2.52
    best: 5.09 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Face Reconstructionon300W
    NME_inter-ocular (%, Full)· 2023-06-05
    2.87
    best: 5.63 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Face Reconstructionon300W
    NME_inter-pupil (%, Challenge)· 2023-06-05
    6.22
    best: 10.59 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Face Reconstructionon300W
    NME_inter-pupil (%, Common)· 2023-06-05
    3.5
    best: 6.15 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Face Reconstructionon300W
    NME_inter-pupil (%, Full)· 2023-06-05
    4.03
    best: 7.01 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Face ReconstructiononWFLW
    AUC@10 (inter-ocular)· 2023-06-05
    60.5
    best: 63.81 (SH-FAN)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Face ReconstructiononWFLW
    FR@10 (inter-ocular)· 2023-06-05
    2.32
    best: 35.24 (ESR)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Face ReconstructiononWFLW
    NME (inter-ocular)· 2023-06-05
    4.02
    best: 11.13 (ESR)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face ReconstructiononCOFW
    NME (inter-pupil)· 2023-06-05
    4.62
    best: 4.79 (SLPT)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Challenge)· 2023-06-05
    4.32
    best: 8.2 (ASMNet)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Common)· 2023-06-05
    2.52
    best: 5.09 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Full)· 2023-06-05
    2.87
    best: 5.63 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Reconstructionon300W
    NME_inter-pupil (%, Challenge)· 2023-06-05
    6.22
    best: 10.59 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Reconstructionon300W
    NME_inter-pupil (%, Common)· 2023-06-05
    3.5
    best: 6.15 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Reconstructionon300W
    NME_inter-pupil (%, Full)· 2023-06-05
    4.03
    best: 7.01 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face ReconstructiononWFLW
    AUC@10 (inter-ocular)· 2023-06-05
    60.5
    best: 63.81 (SH-FAN)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face ReconstructiononWFLW
    FR@10 (inter-ocular)· 2023-06-05
    2.32
    best: 35.24 (ESR)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face ReconstructiononWFLW
    NME (inter-ocular)· 2023-06-05
    4.02
    best: 11.13 (ESR)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763

Methodology17 results

  • Zero-Shot LearningonPKU-MMD
    Random Split Accuracy· 2024-04-11
    70.6
    best: 87.8 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (12 unseen classes)· 2024-04-11
    45.1
    best: 56.03 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (5 unseen classes)· 2024-04-11
    81.4
    best: 86.49 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Zero-Shot LearningonNTU RGB+D
    Random Split Accuracy· 2024-04-11
    77.5
    best: 93.17 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Hierarchical Reinforcement LearningonAnt + Maze
    Return· 2024-01-18
    0.85
    SOTA
    Reconciling Spatial and Temporal Abstractions for Goal RepresentationarXiv:2401.09870
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (10 unseen classes)· 2024-04-11
    63.3
    best: 79.99 (PGFA)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (24 unseen classes)· 2024-04-11
    44.3
    best: 65.06 (TDSM)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • 3DonCOFW
    NME (inter-pupil)· 2023-06-05
    4.62
    best: 4.79 (SLPT)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3Don300W
    NME_inter-ocular (%, Challenge)· 2023-06-05
    4.32
    best: 8.2 (ASMNet)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3Don300W
    NME_inter-ocular (%, Common)· 2023-06-05
    2.52
    best: 5.09 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3Don300W
    NME_inter-ocular (%, Full)· 2023-06-05
    2.87
    best: 5.63 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3Don300W
    NME_inter-pupil (%, Challenge)· 2023-06-05
    6.22
    best: 10.59 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3Don300W
    NME_inter-pupil (%, Common)· 2023-06-05
    3.5
    best: 6.15 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3Don300W
    NME_inter-pupil (%, Full)· 2023-06-05
    4.03
    best: 7.01 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3DonWFLW
    AUC@10 (inter-ocular)· 2023-06-05
    60.5
    best: 63.81 (SH-FAN)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3DonWFLW
    FR@10 (inter-ocular)· 2023-06-05
    2.32
    best: 35.24 (ESR)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3DonWFLW
    NME (inter-ocular)· 2023-06-05
    4.02
    best: 11.13 (ESR)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763

Medical11 results

  • 3D Face ModellingonCOFW
    NME (inter-pupil)· 2023-06-05
    4.62
    best: 4.79 (SLPT)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Challenge)· 2023-06-05
    4.32
    best: 8.2 (ASMNet)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Common)· 2023-06-05
    2.52
    best: 5.09 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Full)· 2023-06-05
    2.87
    best: 5.63 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Modellingon300W
    NME_inter-pupil (%, Challenge)· 2023-06-05
    6.22
    best: 10.59 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Modellingon300W
    NME_inter-pupil (%, Common)· 2023-06-05
    3.5
    best: 6.15 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face Modellingon300W
    NME_inter-pupil (%, Full)· 2023-06-05
    4.03
    best: 7.01 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face ModellingonWFLW
    AUC@10 (inter-ocular)· 2023-06-05
    60.5
    best: 63.81 (SH-FAN)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face ModellingonWFLW
    FR@10 (inter-ocular)· 2023-06-05
    2.32
    best: 35.24 (ESR)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • 3D Face ModellingonWFLW
    NME (inter-ocular)· 2023-06-05
    4.02
    best: 11.13 (ESR)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Language ModellingonPenn Treebank (Character Level)
    Bit per Character (BPC)· 2019-11-25
    1.3
    best: 1.38 (Bipartite Flow)
    Gating Revisited: Deep Multi-layer RNNs That Can Be TrainedarXiv:1911.11033

Music10 results

  • Facial Recognition and ModellingonCOFW
    NME (inter-pupil)· 2023-06-05
    4.62
    best: 4.79 (SLPT)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Challenge)· 2023-06-05
    4.32
    best: 8.2 (ASMNet)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Common)· 2023-06-05
    2.52
    best: 5.09 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Full)· 2023-06-05
    2.87
    best: 5.63 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Facial Recognition and Modellingon300W
    NME_inter-pupil (%, Challenge)· 2023-06-05
    6.22
    best: 10.59 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Facial Recognition and Modellingon300W
    NME_inter-pupil (%, Common)· 2023-06-05
    3.5
    best: 6.15 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Facial Recognition and Modellingon300W
    NME_inter-pupil (%, Full)· 2023-06-05
    4.03
    best: 7.01 (3DDFA)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Facial Recognition and ModellingonWFLW
    AUC@10 (inter-ocular)· 2023-06-05
    60.5
    best: 63.81 (SH-FAN)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Facial Recognition and ModellingonWFLW
    FR@10 (inter-ocular)· 2023-06-05
    2.32
    best: 35.24 (ESR)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763
  • Facial Recognition and ModellingonWFLW
    NME (inter-ocular)· 2023-06-05
    4.02
    best: 11.13 (ESR)
    STAR Loss: Reducing Semantic Ambiguity in Facial Landmark DetectionarXiv:2306.02763

Robots6 results

  • Activity RecognitiononPKU-MMD
    Random Split Accuracy· 2024-04-11
    70.6
    best: 87.8 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Activity RecognitiononNTU RGB+D
    Accuracy (12 unseen classes)· 2024-04-11
    45.1
    best: 56.03 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Activity RecognitiononNTU RGB+D
    Accuracy (5 unseen classes)· 2024-04-11
    81.4
    best: 86.49 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Activity RecognitiononNTU RGB+D
    Random Split Accuracy· 2024-04-11
    77.5
    best: 93.17 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (10 unseen classes)· 2024-04-11
    63.3
    best: 79.99 (PGFA)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (24 unseen classes)· 2024-04-11
    44.3
    best: 65.06 (TDSM)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487

Natural Language Processing6 results

  • 3D Action RecognitiononPKU-MMD
    Random Split Accuracy· 2024-04-11
    70.6
    best: 87.8 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (12 unseen classes)· 2024-04-11
    45.1
    best: 56.03 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (5 unseen classes)· 2024-04-11
    81.4
    best: 86.49 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • 3D Action RecognitiononNTU RGB+D
    Random Split Accuracy· 2024-04-11
    77.5
    best: 93.17 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (10 unseen classes)· 2024-04-11
    63.3
    best: 79.99 (PGFA)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (24 unseen classes)· 2024-04-11
    44.3
    best: 65.06 (TDSM)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487

Time Series6 results

  • Action RecognitiononPKU-MMD
    Random Split Accuracy· 2024-04-11
    70.6
    best: 87.8 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action RecognitiononNTU RGB+D
    Accuracy (12 unseen classes)· 2024-04-11
    45.1
    best: 56.03 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action RecognitiononNTU RGB+D
    Accuracy (5 unseen classes)· 2024-04-11
    81.4
    best: 86.49 (TDSM)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action RecognitiononNTU RGB+D
    Random Split Accuracy· 2024-04-11
    77.5
    best: 93.17 (PGFA)
    SOTA
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action RecognitiononNTU RGB+D 120
    Accuracy (10 unseen classes)· 2024-04-11
    63.3
    best: 79.99 (PGFA)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487
  • Action RecognitiononNTU RGB+D 120
    Accuracy (24 unseen classes)· 2024-04-11
    44.3
    best: 65.06 (TDSM)
    Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action RecognitionarXiv:2404.07487

Knowledge Base6 results

  • Recommendation Systemsonyoochoose1/64
    Hit@20· 2022-11-11
    71.31
    SOTA
    STAR: A Session-Based Time-Aware Recommender SystemarXiv:2211.06394
  • Recommendation Systemsonyoochoose1/4
    Hit@20· 2022-11-11
    72.46
    SOTA
    STAR: A Session-Based Time-Aware Recommender SystemarXiv:2211.06394
  • Recommendation Systemsonyoochoose1/4
    MRR@20· 2022-11-11
    32.7
    SOTA
    STAR: A Session-Based Time-Aware Recommender SystemarXiv:2211.06394
  • Recommendation SystemsonDiginetica
    Hit@20· 2022-11-11
    53.98
    best: 57.86 (SR-PredAO+DIDN)
    SOTA
    STAR: A Session-Based Time-Aware Recommender SystemarXiv:2211.06394
  • Recommendation Systemsonyoochoose1/64
    MRR@20· 2022-11-11
    31.3
    best: 32.61 (SGNN-HN)
    STAR: A Session-Based Time-Aware Recommender SystemarXiv:2211.06394
  • Recommendation SystemsonDiginetica
    MRR@20· 2022-11-11
    18.66
    best: 20.49 (SR-PredAO+DIDN)
    STAR: A Session-Based Time-Aware Recommender SystemarXiv:2211.06394