Cover Image

Time-step Mixup for Efficient Spiking Knowledge Transfer from Appearance to Event Domain

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Yuqi, Ye, Shuhan, Yu, Yi, Wang, Chong, Zhang, Qixin, Xu, Jiazhen, Shen, Le, Qian, Yuanbin, Qian, Jiangbo, Li, Guoqi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Breaking the Modality Wall: Time-step Mixup for Efficient Spiking Knowledge Transfer from Static to Event Domain
by: Xie, Yuqi, et al.
Published: (2025)

Cross Knowledge Distillation between Artificial and Spiking Neural Networks
by: Ye, Shuhan, et al.
Published: (2025)

Fire on Motion: Optimizing Video Pass-bands for Efficient Spiking Action Recognition
by: Ye, Shuhan, et al.
Published: (2026)

UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
by: Qian, Yuanbin, et al.
Published: (2025)

Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks
by: Yu, Yi, et al.
Published: (2026)

Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT
by: Mei, Zihao, et al.
Published: (2025)

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain
by: He, Xiang, et al.
Published: (2023)

Learning from Dense Events: Towards Fast Spiking Neural Networks Training via Event Dataset Distillation
by: Ye, Shuhan, et al.
Published: (2025)

STARS: Spike Tail-Aware Relational Synthesis for ANN-to-SNN Data-Free Knowledge Distillation
by: Ye, Shuhan, et al.
Published: (2026)

Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks
by: Ye, Shuhan, et al.
Published: (2025)

Efficient 3D Recognition with Event-driven Spike Sparse Convolution
by: Qiu, Xuerui, et al.
Published: (2024)

Parallel Training in Spiking Neural Networks
by: Huang, Yanbin, et al.
Published: (2026)

Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions
by: Hu, Yangfan, et al.
Published: (2024)

Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
by: Tao, Chenchen, et al.
Published: (2024)

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation
by: Lei, Zhenxin, et al.
Published: (2024)

Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis
by: Liu, Pei, et al.
Published: (2026)

SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
by: Wang, Kexin, et al.
Published: (2024)

Efficient Spike-driven Transformer for High-performance Drone-View Geo-Localization
by: Chen, Zhongwei, et al.
Published: (2025)

SVL: Spike-based Vision-language Pretraining for Efficient 3D Open-world Understanding
by: Qiu, Xuerui, et al.
Published: (2025)

Asymptotic Properties of the Derivative of Self-Intersection Local Time of Multidimensional Fractional Brownian Motion
by: Gu, Jiazhen, et al.
Published: (2025)

LCA ‐ NeRF : Large‐Scale Scene Neural Rendering With Clustered Appearance Embedding
by: Ziyu Zhang, et al.
Published: (2025)

Strong solutions to SDEs with singular drifts driven by fractional Brownian motions
by: Gu, Jiazhen, et al.
Published: (2026)

Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training
by: Yao, Man, et al.
Published: (2024)

GV-VAD : Exploring Video Generation for Weakly-Supervised Video Anomaly Detection
by: Cai, Suhang, et al.
Published: (2025)

Animation line art colorization based on the optical flow method
by: Yifeng Yu, et al.
Published: (2024)

MuSpike: A Benchmark and Evaluation Framework for Symbolic Music Generation with Spiking Neural Networks
by: Liang, Qian, et al.
Published: (2025)

Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation
by: Qin, Jiangcheng, et al.
Published: (2025)

Inter-Domain Mixup for Semi-Supervised Domain Adaptation
by: Li, Jichang, et al.
Published: (2024)

Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection
by: Luo, Xinhao, et al.
Published: (2024)

SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity
by: Zou, Shihao, et al.
Published: (2025)

Multi-Focused Video Group Activities Hashing
by: Qi, Zhongmiao, et al.
Published: (2025)

AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
by: Tang, Zihao, et al.
Published: (2024)

Direct-to-Event Spiking Neural Network Transfer
by: Luu, Nhan Trong, et al.
Published: (2026)

Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
by: Wang, Yuqi, et al.
Published: (2024)

Efficient Risk Assessment of Time‐to‐Event Targets With Adaptive Information Transfer
by: Jie Ding, et al.
Published: (2024)

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution
by: Lu, Wang, et al.
Published: (2022)

Spiking Layer-Adaptive Magnitude-based Pruning
by: Wang, Junqiao, et al.
Published: (2026)

Learning Fair Robustness via Domain Mixup
by: Zhong, Meiyu, et al.
Published: (2024)

Adversarial Mixup Unlearning
by: Peng, Zhuoyi, et al.
Published: (2025)

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks
by: Zhu, Rui-Jie, et al.
Published: (2023)