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

N-UCLA

아카이브 평가 25건 · 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
99.1
A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton Modalities
2023-12-28
코드 1
SkateFormer
Accuracy
98.3
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
2024-03-14
코드 1
LA-GCN
Accuracy
97.6
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition
2023-05-21
코드 1
MMCL
Accuracy
97.5
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition
2024-07-22
코드 1
TD-GCN
Accuracy
97.4
Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition
2023-05-01
코드 1
Action Capsules
Accuracy
97.3
Action Capsules: Human Skeleton Action Recognition
2023-01-30
연결 없음
LST
Accuracy
97.2
Generative Action Description Prompts for Skeleton-based Action Recognition
2022-08-10
코드 1 · 코드 2 · 코드 3
HD-GCN
Accuracy
97.2
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
2022-08-23
코드 1
InfoGCN
Accuracy
97.0
InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition
2022-01-01
코드 1
TCA-GCN
Accuracy
97.0
Skeleton-based Action Recognition via Temporal-Channel Aggregation
2022-05-31
코드 1
DSTSA-GCN
Accuracy
96.98
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling
2025-01-21
코드 1
JPFormer
Accuracy
96.7
Joint-Partition Group Attention for skeleton-based action recognition
2024-07-30
코드 1
CTR-GCN
Accuracy
96.5
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
2021-07-26
코드 1 · 코드 2
RE-TCN
Accuracy
96.34%
Data Modality (Joint, Bone, Motion)
Joint
Action Recognition in Real-World Ambient Assisted Living Environment
2025-03-29
코드 1
TD-GDSCN
Accuracy
95.69
Data Modality (Joint, Bone, Motion)
Joint
Action Recognition for Privacy-Preserving Ambient Assisted Living
2024-08-15
코드 1
MSSTNet
Accuracy
95.3
Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognition
2023-05-12
코드 1
Hierarchical Action Classification (RGB + Pose)
Accuracy
93.99
Hierarchical Action Classification with Network Pruning
2020-07-30
연결 없음
MMNet (RGB + Pose)
Accuracy
93.7
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos
2022-05-26
코드 1
VPN (RGB + Pose)
Accuracy
93.5
VPN: Learning Video-Pose Embedding for Activities of Daily Living
2020-07-06
코드 1
VPN++ (RGB + Pose)
Accuracy
93.5
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
2021-05-17
코드 1
SGN
Accuracy
92.5%
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
2019-04-02
코드 1 · 코드 2
Action Machine
Accuracy
92.3%
Action Machine: Rethinking Action Recognition in Trimmed Videos
2018-12-14
연결 없음
EleAtt-GRU (aug.)
Accuracy
90.7%
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks
2019-09-03
연결 없음
VA-fusion (aug.)
Accuracy
88.1%
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
2018-04-20
코드 1 · 코드 2
Glimpse Clouds
Accuracy
87.6%
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
2018-02-22
코드 1