Copertina

SpikeTrack: A Spike-driven Framework for Efficient Visual Tracking

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Qiuyang, Cheng, Jiujun, Mao, Qichao, Liu, Cong, Fang, Yu, Li, Yuhong, Ge, Mengying, Gao, Shangce
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

Fully Spiking Neural Networks with Target Awareness for Energy-Efficient UAV Tracking
di: Zhong, Pengzhi, et al.
Pubblicazione: (2026)

Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer
di: Zou, Shihao, et al.
Pubblicazione: (2023)

Quantized Spike-driven Transformer
di: Qiu, Xuerui, et al.
Pubblicazione: (2025)

Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
di: Zhao, Xiaochen, et al.
Pubblicazione: (2025)

Spike-EVPR: Deep Spiking Residual Networks with SNN-Tailored Representations for Event-Based Visual Place Recognition
di: Liu, Zuntao, et al.
Pubblicazione: (2024)

SpikeMOT: Event-based Multi-Object Tracking with Sparse Motion Features
di: Wang, Song, et al.
Pubblicazione: (2023)

SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams
di: Gao, Zhuoheng, et al.
Pubblicazione: (2025)

Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
di: Liu, Mingxuan, et al.
Pubblicazione: (2024)

CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics
di: Mao, Ruixin, et al.
Pubblicazione: (2024)

SpikeDet: Better Firing Patterns for Accurate and Energy-Efficient Object Detection with Spiking Neural Networks
di: Fan, Yimeng, et al.
Pubblicazione: (2025)

Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
di: Yang, Jingjun, et al.
Pubblicazione: (2025)

VastTrack: Vast Category Visual Object Tracking
di: Peng, Liang, et al.
Pubblicazione: (2024)

Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Cameras
di: Zhang, Yunzhong, et al.
Pubblicazione: (2025)

Driving in Spikes: An Entropy-Guided Object Detector for Spike Cameras
di: Liu, Ziyan, et al.
Pubblicazione: (2025)

SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
di: Ren, Hongwei, et al.
Pubblicazione: (2023)

Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks
di: Chen, Hanqi, et al.
Pubblicazione: (2024)

SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks
di: Shan, Yimeng, et al.
Pubblicazione: (2025)

SMTrack: End-to-End Trained Spiking Neural Networks for Multi-Object Tracking in RGB Videos
di: Zhong, Pengzhi, et al.
Pubblicazione: (2025)

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware
di: Bonazzi, Pietro, et al.
Pubblicazione: (2023)

DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
di: Zhou, Xinyu, et al.
Pubblicazione: (2025)

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

TrackVLA: Embodied Visual Tracking in the Wild
di: Wang, Shaoan, et al.
Pubblicazione: (2025)

Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks
di: Xiao, Yi, et al.
Pubblicazione: (2025)

SpikeGen: Decoupled "Rods and Cones" Visual Representation Processing with Latent Generative Framework
di: Dai, Gaole, et al.
Pubblicazione: (2025)

A Joint Visual Compression and Perception Framework for Neuralmorphic Spiking Camera
di: Feng, Kexiang, et al.
Pubblicazione: (2025)

Vision SmolMamba: Spike-Guided Token Pruning for Energy-Efficient Spiking State-Space Vision Models
di: Bai, Dewei, et al.
Pubblicazione: (2026)

SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
di: Chen, Kang, et al.
Pubblicazione: (2024)

Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
di: Guo, Yufei, et al.
Pubblicazione: (2025)

R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
di: Wang, Biao, et al.
Pubblicazione: (2025)

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs
di: Lu, Yunhong, et al.
Pubblicazione: (2026)

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks
di: Wang, Ziqing, et al.
Pubblicazione: (2023)

Finding Visual Saliency in Continuous Spike Stream
di: Zhu, Lin, et al.
Pubblicazione: (2024)

Exploring Reliable Spatiotemporal Dependencies for Efficient Visual Tracking
di: Shi, Junze, et al.
Pubblicazione: (2026)

Towards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking
di: Tian, Wei-Long, et al.
Pubblicazione: (2025)

General Compression Framework for Efficient Transformer Object Tracking
di: Hong, Lingyi, et al.
Pubblicazione: (2024)

Spike-NeRF: Neural Radiance Field Based On Spike Camera
di: Guo, Yijia, et al.
Pubblicazione: (2024)

SpikeDerain: Unveiling Clear Videos from Rainy Sequences Using Color Spike Streams
di: Liang, Hanwen, et al.
Pubblicazione: (2025)

Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
di: Hao, Zecheng, et al.
Pubblicazione: (2024)