Cover Image

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Zhaokun, Che, Kaiwei, Fang, Wei, Tian, Keyu, Zhu, Yuesheng, Yan, Shuicheng, Tian, Yonghong, Yuan, Li
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spatial-Temporal Search for Spiking Neural Networks
by: Che, Kaiwei, et al.
Published: (2024)

Optimal ANN-SNN Conversion with Group Neurons
by: Lv, Liuzhenghao, et al.
Published: (2024)

Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
by: Che, Kaiwei, et al.
Published: (2024)

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
by: Xue, Peng, et al.
Published: (2025)

Winner-Take-All Spiking Transformer for Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
by: Zhou, Chenlin, et al.
Published: (2024)

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
by: Fang, Wei, et al.
Published: (2023)

Scalable Dendritic Modeling Advances Expressive and Robust Deep Spiking Neural Networks
by: Huang, Yifan, et al.
Published: (2024)

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
by: Yao, Man, et al.
Published: (2024)

Spikingformer: A Key Foundation Model for Spiking Neural Networks
by: Zhou, Chenlin, et al.
Published: (2023)

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
by: Xu, Shang, et al.
Published: (2025)

Finding Strong Lottery Ticket Networks with Genetic Algorithms
by: Altmann, Philipp, et al.
Published: (2024)

Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
by: Bu, Tong, et al.
Published: (2024)

An Asynchronous Multi-core Accelerator for SNN inference
by: Chen, Zhuo, et al.
Published: (2024)

One-Timestep is Enough: Achieving High-performance ANN-to-SNN Conversion via Scale-and-Fire Neurons
by: Chen, Qiuyang, et al.
Published: (2025)

High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost
by: Hu, JiaKui, et al.
Published: (2024)

SNNF: An SNN-based Near-Sensor Noise Filter for Dynamic Vision Sensors
by: Yang, Yahan, et al.
Published: (2026)

TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
by: Lee, Donghyun, et al.
Published: (2024)

MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2026)

MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network
by: Lee, Donghyun, et al.
Published: (2025)

LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
by: Liu, Qianhui, et al.
Published: (2024)

Plug-and-Play Homeostatic Spark: Zero-Cost Acceleration for SNN Training Across Paradigms
by: Chen, Rui, et al.
Published: (2025)

Natively neuromorphic LMU architecture for encoding-free SNN-based HAR on commercial edge devices
by: Fra, Vittorio, et al.
Published: (2024)

An Event-Driven E-Skin System with Dynamic Binary Scanning and real time SNN Classification
by: Li, Gaishan, et al.
Published: (2026)

A Survey of Lottery Ticket Hypothesis
by: Liu, Bohan, et al.
Published: (2024)

Noisy Spiking Actor Network for Exploration
by: Chen, Ding, et al.
Published: (2024)

Adaptive Spiking Neurons for Vision and Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)

A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training
by: Mirsadeghi, Maryam, et al.
Published: (2026)

An Attempt to Devise a Pairwise Ising-Type Maximum Entropy Model Integrated Cost Function for Optimizing SNN Deployment
by: Huang, Wanhong
Published: (2024)

CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
by: Huang, Yongsheng, et al.
Published: (2025)

BrainTransformers: SNN-LLM
by: Tang, Zhengzheng, et al.
Published: (2024)

QKFormer: Hierarchical Spiking Transformer using Q-K Attention
by: Zhou, Chenlin, et al.
Published: (2024)

Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
by: Huang, Liwei, et al.
Published: (2023)

Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
by: Li, Yang, et al.
Published: (2024)

Towards Scalable Lottery Ticket Networks using Genetic Algorithms
by: Schönberger, Julian, et al.
Published: (2025)

Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
by: Huang, Liwei, et al.
Published: (2024)

Multi-strategy Improved Northern Goshawk Optimization for WSN Coverage Enhancement
by: Tian, Yiran, et al.
Published: (2026)

Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization
by: Wang, Ziming, et al.
Published: (2022)

TS-SNN: Temporal Shift Module for Spiking Neural Networks
by: Yu, Kairong, et al.
Published: (2025)

A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization
by: Wu, Tongyu, et al.
Published: (2025)