https://github.com/mapolinario94/s-tllr
공식 코드S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
Papers with Code 아카이브
Gesture Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Gesture Recognition is an active field of research with applications such as automatic recognition of sign language, interaction of humans and robots or for new ways of controlling video games.
Source: Gesture Recognition in RGB Videos Using Human Body Keypoints and Dynamic Time Warping
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/microsoft/robustlearn
공식 코드Out-of-Distribution Representation Learning for Time Series Classification
https://github.com/miguelsimao/uc2017_classification
공식 코드Online Recognition of Incomplete Gesture Data to Interface Collaborative Robots
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/mohaseeb/wisture
공식 코드Wisture: RNN-based Learning of Wireless Signals for Gesture Recognition in Unmodified Smartphones
https://github.com/mx-ethan-rao/robotic_gesture_tools
공식 코드Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition
https://github.com/neu-spiral/emg-feedback-user-training
공식 코드User Training with Error Augmentation for Electromyogram-based Gesture Classification
https://github.com/neuromorphic-paris/frog
공식 코드A Framework for Event-based Computer Vision on a Mobile Device
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/nik-sm/com-hom-emg
공식 코드Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder
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 코드ASL Recognition with Metric-Learning based Lightweight Network
https://github.com/orlitany/Cloud_dictionary
공식 코드Cloud Dictionary: Sparse Coding and Modeling for Point Clouds
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/patrickzib/SFA
공식 코드https://github.com/peabrane/pleiades
공식 코드TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials
https://github.com/pkuxmq/ottt-snn
공식 코드https://github.com/pulp-platform/pulp-transformer
공식 코드Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
https://github.com/purpleleaves007/wiopen
공식 코드WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework
https://github.com/rdipietro/miccai-2016-surgical-activity-rec
공식 코드Recognizing Surgical Activities with Recurrent Neural Networks
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/studyzx/gesturegpt_iss
공식 코드GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model Agents
https://github.com/sunao-101/pgpfr-3
공식 코드Data-Free Class-Incremental Gesture Recognition with Prototype-Guided Pseudo Feature Replay
https://github.com/sunhongze/STL-SNN
공식 코드A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks
https://github.com/sunpengfei1122/DMU
공식 코드Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate
https://github.com/suvajit-patra/sl-hwgat
공식 코드https://github.com/toytiny/milliflow
공식 코드milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing
https://github.com/tum-ei-eda/moiopt
공식 코드Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference
https://github.com/uark-cviu/direcformer
공식 코드DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
https://github.com/vijay4313/proxemo
공식 코드https://github.com/villawang/CatNet
공식 코드CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.