Hand Gesture Recognition
Leaderboards
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
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Greatest papers with code
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
• ahmetgunduz/Real-time-GesRec
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We evaluate our architecture on two publicly available datasets - EgoGesture and NVIDIA Dynamic Hand Gesture Datasets - which require temporal detection and classification of the performed hand gestures.
ACTION RECOGNITION IN VIDEOS HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations
Our dataset and experiments can be of interest to communities of 3D hand pose estimation, 6D object pose, and robotics as well as action recognition.
EGOCENTRIC ACTIVITY RECOGNITION HAND GESTURE RECOGNITION HAND POSE ESTIMATION TEMPORAL ACTION LOCALIZATION
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
Although skeleton-based action recognition has achieved great success in recent years, most of the existing methods may suffer from a large model size and slow execution speed.
Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition
Acquiring spatio-temporal states of an action is the most crucial step for action classification.
ACTION CLASSIFICATION HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) method for hand gesture recognition.
Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a vitally important role in natural human-computer interface.
HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition
• Plrbear/HGR-Net
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We propose a two-stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR-Net, where the first stage performs accurate semantic segmentation to determine hand regions, and the second stage identifies the gesture.
HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION HAND SEGMENTATION SEMANTIC SEGMENTATION
Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition
Gesture recognition is a challenging problem in the field of biometrics.
Deep Learning for Hand Gesture Recognition on Skeletal Data
IEEE FG 2018 2018
• guillaumephd/deep_learning_hand_gesture_recognition
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In this paper, we introduce a new 3D hand gesture recognition approach based on a deep learning model.
3D SHAPE RETRIEVAL HAND-GESTURE RECOGNITION SKELETON BASED ACTION RECOGNITION TEMPORAL INFORMATION EXTRACTION