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Datasets

Greatest papers with code

Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

29 Jan 2019ahmetgunduz/Real-time-GesRec

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 CLASSIFICATION HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION HIERARCHICAL STRUCTURE

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

25 Aug 2017kenshohara/3D-ResNets

The 3D ResNets trained on the Kinetics did not suffer from overfitting despite the large number of parameters of the model, and achieved better performance than relatively shallow networks, such as C3D.

ACTION RECOGNITION HAND-GESTURE RECOGNITION

Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion

15 Jan 2019Ha0Tang/HandGestureRecognition

Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a vitally important role in natural human-computer interface.

HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION

MMTM: Multimodal Transfer Module for CNN Fusion

CVPR 2020 haamoon/mmtm

In late fusion, each modality is processed in a separate unimodal Convolutional Neural Network (CNN) stream and the scores of each modality are fused at the end.

ACTION RECOGNITION HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION SPEECH ENHANCEMENT

Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention

20 Jul 2019yuxiaochen1103/DG-STA

We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) method for hand gesture recognition.

HAND-GESTURE RECOGNITION SKELETON BASED ACTION RECOGNITION

IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition

20 Apr 2020GibranBenitez/IPN-hand

The experimental results show that the state-of-the-art ResNext-101 model decreases about 30% accuracy when using our real-world dataset, demonstrating that the IPN Hand dataset can be used as a benchmark, and may help the community to step forward in the continuous HGR.

HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION OPTICAL FLOW ESTIMATION SEMANTIC SEGMENTATION

HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition

14 Jun 2018Plrbear/HGR-Net

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 GESTURE SEGMENTATION HAND SEGMENTATION SEMANTIC SEGMENTATION

Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training

CVPR 2019 sbhonde1/Multimodal-Learning

We present an efficient approach for leveraging the knowledge from multiple modalities in training unimodal 3D convolutional neural networks (3D-CNNs) for the task of dynamic hand gesture recognition.

ACTION RECOGNITION HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION TRANSFER LEARNING