Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/HCN

HCN

Reported on 46 benchmarks across 11 tasks · 1 paper · 22 SOTA

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

Computer Vision20 results

VideoonPKU-MMD
mAP@0.50 (CS)· 2018-04-17
92.6
best: 92.9 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
VideoonPKU-MMD
mAP@0.50 (CV)· 2018-04-17
94.2
best: 94.4 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Temporal Action LocalizationonPKU-MMD
mAP@0.50 (CS)· 2018-04-17
92.6
best: 92.9 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Temporal Action LocalizationonPKU-MMD
mAP@0.50 (CV)· 2018-04-17
94.2
best: 94.4 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action LocalizationonPKU-MMD
mAP@0.50 (CS)· 2018-04-17
92.6
best: 92.9 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action LocalizationonPKU-MMD
mAP@0.50 (CV)· 2018-04-17
94.2
best: 94.4 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Pose Estimationon RF-MMD
mAP (@0.1, Through-wall)· 2018-04-17
78.5
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Pose Estimationon RF-MMD
mAP (@0.1, Visible)· 2018-04-17
825
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
VideoonNTU RGB+D
Accuracy (CS)· 2018-04-17
86.5
best: 94.3 (Hulk(Finetune, ViT-L))
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
VideoonNTU RGB+D
Accuracy (CV)· 2018-04-17
91.1
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Temporal Action LocalizationonNTU RGB+D
Accuracy (CS)· 2018-04-17
86.5
best: 94.3 (Hulk(Finetune, ViT-L))
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Temporal Action LocalizationonNTU RGB+D
Accuracy (CV)· 2018-04-17
91.1
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action LocalizationonNTU RGB+D
Accuracy (CS)· 2018-04-17
86.5
best: 94.3 (Hulk(Finetune, ViT-L))
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action LocalizationonNTU RGB+D
Accuracy (CV)· 2018-04-17
91.1
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
VideoonActivityNet-1.3
AR@100
77.13
best: 77.67 (AOE-Net)
VideoonActivityNet-1.3
AUC (val)
68.78
best: 69.71 (AOE-Net)
Temporal Action LocalizationonActivityNet-1.3
AR@100
77.13
best: 77.67 (AOE-Net)
Temporal Action LocalizationonActivityNet-1.3
AUC (val)
68.78
best: 69.71 (AOE-Net)
Action LocalizationonActivityNet-1.3
AR@100
77.13
best: 77.67 (AOE-Net)
Action LocalizationonActivityNet-1.3
AUC (val)
68.78
best: 69.71 (AOE-Net)

Methodology8 results

Zero-Shot LearningonPKU-MMD
mAP@0.50 (CS)· 2018-04-17
92.6
best: 92.9 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Zero-Shot LearningonPKU-MMD
mAP@0.50 (CV)· 2018-04-17
94.2
best: 94.4 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
3Don RF-MMD
mAP (@0.1, Through-wall)· 2018-04-17
78.5
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
3Don RF-MMD
mAP (@0.1, Visible)· 2018-04-17
825
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Zero-Shot LearningonNTU RGB+D
Accuracy (CS)· 2018-04-17
86.5
best: 94.3 (Hulk(Finetune, ViT-L))
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Zero-Shot LearningonNTU RGB+D
Accuracy (CV)· 2018-04-17
91.1
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Zero-Shot LearningonActivityNet-1.3
AR@100
77.13
best: 77.67 (AOE-Net)
Zero-Shot LearningonActivityNet-1.3
AUC (val)
68.78
best: 69.71 (AOE-Net)

Time Series8 results

Action DetectiononPKU-MMD
mAP@0.50 (CS)· 2018-04-17
92.6
best: 92.9 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action DetectiononPKU-MMD
mAP@0.50 (CV)· 2018-04-17
94.2
best: 94.4 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action RecognitiononPKU-MMD
mAP@0.50 (CS)· 2018-04-17
92.6
best: 92.9 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action RecognitiononPKU-MMD
mAP@0.50 (CV)· 2018-04-17
94.2
best: 94.4 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action DetectiononNTU RGB+D
Accuracy (CS)· 2018-04-17
86.5
best: 94.3 (Hulk(Finetune, ViT-L))
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action DetectiononNTU RGB+D
Accuracy (CV)· 2018-04-17
91.1
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action RecognitiononNTU RGB+D
Accuracy (CS)· 2018-04-17
86.5
best: 97.4 (DSCNet (RGB + Pose))
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Action RecognitiononNTU RGB+D
Accuracy (CV)· 2018-04-17
91.1
best: 99.6 (PoseC3D (RGB + Pose))
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055

Robots4 results

Activity RecognitiononPKU-MMD
mAP@0.50 (CS)· 2018-04-17
92.6
best: 92.9 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Activity RecognitiononPKU-MMD
mAP@0.50 (CV)· 2018-04-17
94.2
best: 94.4 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Activity RecognitiononNTU RGB+D
Accuracy (CS)· 2018-04-17
86.5
best: 97.4 (DSCNet (RGB + Pose))
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
Activity RecognitiononNTU RGB+D
Accuracy (CV)· 2018-04-17
91.1
best: 99.6 (PoseC3D (RGB + Pose))
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055

Natural Language Processing4 results

3D Action RecognitiononPKU-MMD
mAP@0.50 (CS)· 2018-04-17
92.6
best: 92.9 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
3D Action RecognitiononPKU-MMD
mAP@0.50 (CV)· 2018-04-17
94.2
best: 94.4 (RF-Action)
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
3D Action RecognitiononNTU RGB+D
Accuracy (CS)· 2018-04-17
86.5
best: 94.3 (Hulk(Finetune, ViT-L))
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
3D Action RecognitiononNTU RGB+D
Accuracy (CV)· 2018-04-17
91.1
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055

Audio2 results

1 Image, 2*2 Stitchion RF-MMD
mAP (@0.1, Through-wall)· 2018-04-17
78.5
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055
1 Image, 2*2 Stitchion RF-MMD
mAP (@0.1, Visible)· 2018-04-17
825
SOTA
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation arXiv:1804.06055