https://github.com/Gbouna/RE-TCN
공식 코드Action Recognition in Real-World Ambient Assisted Living Environment
Papers with Code 아카이브
Hand Gesture Recognition
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Hand gesture recognition (HGR) is a subarea of Computer Vision where the focus is on classifying a video or image containing a dynamic or static, respectively, hand gesture. In the static case, gestures are also generally called poses. HGR can also be performed with point cloud or joint hand data.
코드
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/HuCui2022/DSTSA-GCN_Gesture
공식 코드https://github.com/ID56/Multimodal-Fusion-CRNN
공식 코드A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System
https://github.com/MahmudulAlam/Unified-Gesture-and-Fingertip-Detection
공식 코드Unified Learning Approach for Egocentric Hand Gesture Recognition and Fingertip Detection
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/amr-gomaa/ML-PersRef
공식 코드https://github.com/damo-cv/motionrgbd
공식 코드Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition
https://github.com/dxli94/WLASL
공식 코드https://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/fandulu/DD-Net
공식 코드Make Skeleton-based Action Recognition Model Smaller, Faster and Better
https://github.com/feichtenhofer/twostreamfusion
공식 코드Two-Stream Convolutional Networks for Action Recognition in Videos
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/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/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/suvajit-patra/sl-hwgat
공식 코드https://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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.