← Action Recognition
Papers with Code · CC BY-SA 4.0

NTU RGB+D 120

아카이브 평가 21건 · 마지막 적재/변경

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
DSCNet (RGB + Pose)
Accuracy (Cross-Subject)
95.6
Accuracy (Cross-Setup)
96.7
A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton Modalities
2023-12-28
코드 1
PoseC3D (RGB + Pose)
Accuracy (Cross-Subject)
95.3
Accuracy (Cross-Setup)
96.4
Revisiting Skeleton-based Action Recognition
2021-04-28
코드 1 · 코드 2 · 코드 3 · 코드 4
π-ViT (RGB + Pose)
Accuracy (Cross-Subject)
95.1
Accuracy (Cross-Setup)
96.1
Just Add $π$! Pose Induced Video Transformers for Understanding Activities of Daily Living
2023-11-30
코드 1
MMNet (RGB + Pose)
Accuracy (Cross-Subject)
92.9
Accuracy (Cross-Setup)
94.4
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos
2022-05-26
코드 1
EPP-Net (Parsing + Pose)
Accuracy (Cross-Subject)
91.1
Accuracy (Cross-Setup)
92.8
Explore Human Parsing Modality for Action Recognition
2024-01-04
코드 1
STAR-Transformer (RGB + Pose)
Accuracy (Cross-Subject)
90.3
Accuracy (Cross-Setup)
92.7
STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition
2022-10-14
연결 없음
EPAM-Net
Accuracy (Cross-Subject)
94.3
Accuracy (Cross-Setup)
92.4
EPAM-Net: An Efficient Pose-driven Attention-guided Multimodal Network for Video Action Recognition
2024-08-10
코드 1
π-ViT (RGB only)
Accuracy (Cross-Subject)
92.9
Accuracy (Cross-Setup)
91.9
Just Add $π$! Pose Induced Video Transformers for Understanding Activities of Daily Living
2023-11-30
코드 1
IPP-Net (Parsing + Pose)
Accuracy (Cross-Subject)
90.0
Accuracy (Cross-Setup)
91.7
Integrating Human Parsing and Pose Network for Human Action Recognition
2023-07-16
코드 1
3DA (RGB + Pose)
Accuracy (Cross-Subject)
90.5
Accuracy (Cross-Setup)
91.4
Cross-Modal Learning with 3D Deformable Attention for Action Recognition
2022-12-12
연결 없음
JPFormer(Pose)
Accuracy (Cross-Subject)
89.4
Accuracy (Cross-Setup)
91.4
Joint-Partition Group Attention for skeleton-based action recognition
2024-07-30
코드 1
DSTSA-GCN
Accuracy (Cross-Subject)
89.12
Accuracy (Cross-Setup)
90.97
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling
2025-01-21
코드 1
VPN++ (RGB + Pose)
Accuracy (Cross-Subject)
92.5
Accuracy (Cross-Setup)
90.7
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
2021-05-17
코드 1
DVANet (RGB only)
Accuracy (Cross-Subject)
91.6
Accuracy (Cross-Setup)
90.4
DVANet: Disentangling View and Action Features for Multi-View Action Recognition
2023-12-10
코드 1
ViewCon (RGB)
Accuracy (Cross-Subject)
85.6
Accuracy (Cross-Setup)
87.5
Multi-View Action Recognition Using Contrastive Learning
2023-01-03
코드 1
VPN (RGB + Pose)
Accuracy (Cross-Subject)
87.8
Accuracy (Cross-Setup)
86.3
VPN: Learning Video-Pose Embedding for Activities of Daily Living
2020-07-06
코드 1
ST-GCN + AS-GCN w/DH-TCN
Accuracy (Cross-Subject)
79.2
Accuracy (Cross-Setup)
78.3
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition
2019-12-20
연결 없음
Gimme Signals (AIS)
Accuracy (Cross-Subject)
71.59
Accuracy (Cross-Setup)
70.8
Gimme Signals: Discriminative signal encoding for multimodal activity recognition
2020-03-13
코드 1 · 코드 2
TSRJI
Accuracy (Cross-Subject)
62.8
Accuracy (Cross-Setup)
67.9
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints
2019-09-11
코드 1
Skelemotion + Yang et al. (skeleton only)
Accuracy (Cross-Subject)
67.7
Accuracy (Cross-Setup)
66.9
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
2019-07-30
코드 1
Body Pose Evolution Map
Accuracy (Cross-Subject)
66.9
Accuracy (Cross-Setup)
64.6
Recognizing Human Actions as the Evolution of Pose Estimation Maps
2018-06-01
연결 없음