https://github.com/Efficient-Scalable-Machine-Learning/event-ssm
공식 코드Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
Papers with Code 아카이브
Hand-Gesture Recognition
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/GibranBenitez/IPN-hand
공식 코드IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition
https://github.com/Ha0Tang/HandGestureRecognition
공식 코드Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
https://github.com/ID56/Multimodal-Fusion-CRNN
공식 코드A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System
https://github.com/MansoorehMontazerin/Vision-Transformer_EMG
공식 코드ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals
https://github.com/ahmetgunduz/Real-time-GesRec
공식 코드Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
https://github.com/ai-forever/dynamic_gestures
공식 코드HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition
https://github.com/exoskelebox/force-myography-hand-gesture-recognition-benchmark-data
공식 코드Force myography benchmark data for hand gesture recognition and transfer learning
https://github.com/hassanali-90/snapture
공식 코드Snapture -- A Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition
https://github.com/hukenovs/hagrid
공식 코드https://github.com/intelligolabs/oo-dmvmt
공식 코드https://github.com/kenshohara/3D-ResNets
공식 코드Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition
https://github.com/mallikagarg/convmixformer
공식 코드https://github.com/mallikagarg/gestformer
공식 코드GestFormer: Multiscale Wavelet Pooling Transformer Network for Dynamic Hand Gesture Recognition
https://github.com/mallikagarg/mvtn
공식 코드MVTN: A Multiscale Video Transformer Network for Hand Gesture Recognition
https://github.com/mikhail-vlasenko/grlib
공식 코드GRLib: An Open-Source Hand Gesture Detection and Recognition Python Library
https://github.com/mims-harvard/tfc-pretraining
공식 코드Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
https://github.com/nielsschluesener/fast-learning-hand-gesture-recognition
공식 코드Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models
https://github.com/nikhil-garg/EMG_exp
공식 코드Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition
https://github.com/okankop/MFF-pytorch
공식 코드Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition
https://github.com/openvinotoolkit/training_extensions
공식 코드https://github.com/outsiders17711/e2eet-skeleton-based-hgr-using-data-level-fusion
공식 코드Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN
https://github.com/peabrane/pleiades
공식 코드TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials
https://github.com/pulp-platform/pulp-transformer
공식 코드Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
https://github.com/riyadRafiq/wearable-latent-embedding-exploitation
공식 코드https://github.com/rzy0901/testspectrogram
공식 코드CASTER: A Computer-Vision-Assisted Wireless Channel Simulator for Gesture Recognition
https://github.com/sandipan211/zsugr
공식 코드https://github.com/siam1251/HandGestureRecognition
공식 코드Human Computer Interaction Using Marker Based Hand Gesture Recognition
https://github.com/whisperyi/mmvr
공식 코드https://github.com/willogy-team/hand-gesture-recognition-smc2021
공식 코드Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
https://github.com/yuxiaochen1103/DG-STA
공식 코드Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
https://gitlab.com/EAVISE/hand-gesture-recognition
공식 코드Low-latency hand gesture recognition with a low resolution thermal imager
https://github.com/Blitzkrieg37/Kinesic
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
https://github.com/LEChaney/Real-time-SSAR
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
https://github.com/Plrbear/HGR-Net
HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition
https://github.com/chandragupta0001/Radar/tree/master/TinyRadarNN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.