← Hand Gesture Recognition
Papers with Code · CC BY-SA 4.0

DHG-14

아카이브 평가 13건 · 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
e2eET
Accuracy
95.83
Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN
2024-06-21
코드 1
DSTSA-GCN
Accuracy
95.04
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling
2025-01-21
코드 1
DD-Net
Accuracy
94.6
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
2019-07-23
코드 1 · 코드 2 · 코드 3
TD-GCN
Accuracy
93.9
Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition
2023-05-01
코드 1
FPPR-PCD
Accuracy
92.0
Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition
2022-01-06
코드 1
DG-STA
Accuracy
91.9
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
2019-07-20
코드 1
RE-TCN
Accuracy
91.31
Action Recognition in Real-World Ambient Assisted Living Environment
2025-03-29
코드 1
Parallel-Conv
Accuracy
91.28
Deep Learning for Hand Gesture Recognition on Skeletal Data
2018-05-15
코드 1
Ensemble of Models
Accuracy
86.11
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition
2020-08-13
연결 없음
SL-fusion-Average
Accuracy
85.46
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition
2020-07-22
연결 없음
SL-fusion-Maximum
Accuracy
85.36
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition
2020-07-22
연결 없음
MFANet
Accuracy
84.68
Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition
2017-08-10
연결 없음
FL-fusion-Concat
Accuracy
81.86
CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition
2020-07-22
연결 없음