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Models/SLnL-rFA

SLnL-rFA

Reported on 24 benchmarks across 8 tasks · 1 paper · 8 SOTA

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

Computer Vision9 results

VideoonKinetics-Skeleton dataset
Accuracy· 2018-11-10
36.6
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
SOTA
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Temporal Action LocalizationonKinetics-Skeleton dataset
Accuracy· 2018-11-10
36.6
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
SOTA
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Action LocalizationonKinetics-Skeleton dataset
Accuracy· 2018-11-10
36.6
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
SOTA
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
VideoonNTU RGB+D
Accuracy (CS)· 2018-11-10
89.1
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
VideoonNTU RGB+D
Accuracy (CV)· 2018-11-10
94.9
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Temporal Action LocalizationonNTU RGB+D
Accuracy (CS)· 2018-11-10
89.1
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Temporal Action LocalizationonNTU RGB+D
Accuracy (CV)· 2018-11-10
94.9
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Action LocalizationonNTU RGB+D
Accuracy (CS)· 2018-11-10
89.1
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Action LocalizationonNTU RGB+D
Accuracy (CV)· 2018-11-10
94.9
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237

Time Series6 results

Action DetectiononKinetics-Skeleton dataset
Accuracy· 2018-11-10
36.6
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
SOTA
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Action RecognitiononKinetics-Skeleton dataset
Accuracy· 2018-11-10
36.6
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
SOTA
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Action DetectiononNTU RGB+D
Accuracy (CS)· 2018-11-10
89.1
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Action DetectiononNTU RGB+D
Accuracy (CV)· 2018-11-10
94.9
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Action RecognitiononNTU RGB+D
Accuracy (CS)· 2018-11-10
89.1
best: 97.4 (DSCNet (RGB + Pose))
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Action RecognitiononNTU RGB+D
Accuracy (CV)· 2018-11-10
94.9
best: 99.6 (PoseC3D (RGB + Pose))
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237

Methodology3 results

Zero-Shot LearningonKinetics-Skeleton dataset
Accuracy· 2018-11-10
36.6
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
SOTA
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Zero-Shot LearningonNTU RGB+D
Accuracy (CS)· 2018-11-10
89.1
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Zero-Shot LearningonNTU RGB+D
Accuracy (CV)· 2018-11-10
94.9
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237

Robots3 results

Activity RecognitiononKinetics-Skeleton dataset
Accuracy· 2018-11-10
36.6
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
SOTA
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Activity RecognitiononNTU RGB+D
Accuracy (CS)· 2018-11-10
89.1
best: 97.4 (DSCNet (RGB + Pose))
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
Activity RecognitiononNTU RGB+D
Accuracy (CV)· 2018-11-10
94.9
best: 99.6 (PoseC3D (RGB + Pose))
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237

Natural Language Processing3 results

3D Action RecognitiononKinetics-Skeleton dataset
Accuracy· 2018-11-10
36.6
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
SOTA
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
3D Action RecognitiononNTU RGB+D
Accuracy (CS)· 2018-11-10
89.1
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237
3D Action RecognitiononNTU RGB+D
Accuracy (CV)· 2018-11-10
94.9
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention arXiv:1811.04237