← Gesture Recognition
Papers with Code · CC BY-SA 4.0

DVS128 Gesture

아카이브 평가 14건 · 마지막 적재/변경

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
TENNs-PLEIADES
Accuracy (%)
100.00
TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials
2024-05-20
코드 1
mMND (BPTT)
Accuracy (%)
98.0
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods
2021-09-29
연결 없음
EGRU
Accuracy (%)
97.8
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
2022-06-13
코드 1
AlexNet+LSTM
Accuracy (%)
97.73
Temporal Binary Representation for Event-Based Action Recognition
2020-10-18
코드 1
S-TLLR
Accuracy (%)
97.72
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
2023-06-27
코드 1
Event-SSM
Accuracy (%)
97.7
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
2024-04-29
코드 1
STL-SNN
Accuracy (%)
97.22
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks
2022-06-10
코드 1
OTTT
Accuracy (%)
96.88
Online Training Through Time for Spiking Neural Networks
2022-10-09
코드 1
STS-ResNet
Accuracy (%)
96.7
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
2020-03-27
코드 1
mMND (STDP)
Accuracy (%)
96.6
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods
2021-09-29
연결 없음
LERT-Transformer Large
Accuracy (%)
96.2
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
2024-02-02
연결 없음
DVSNet
Accuracy (%)
95.15
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks
2022-11-03
연결 없음
ALERT-Transformer Large
Accuracy (%)
94.1
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
2024-02-02
연결 없음
LSTM
Accuracy (%)
86.81
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
2020-05-02
코드 1