Ultra-Low-Latency Spiking Neural Networks with Temporal-Dependent Integrate-and-Fire Neuron Model for Objects Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Chengjun, Zhang, Yuhao, Yang, Jie, Sawan, Mohamad |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Better Schedules for Low Precision Training of Deep Neural Networks
by: Wolfe, Cameron R., et al.
Published: (2024)
by: Wolfe, Cameron R., et al.
Published: (2024)
Once-For-All: A Train-Once and Select-Anytime Framework for Multimodal Instruction Tuning
by: Dong, Mingkang, et al.
Published: (2026)
by: Dong, Mingkang, et al.
Published: (2026)
Context-Enriched Contrastive Loss: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework
by: Deng, Haojin, et al.
Published: (2025)
by: Deng, Haojin, et al.
Published: (2025)
Inference-Time Scaling for Visual AutoRegressive modeling by Searching Representative Samples
by: Tang, Weidong, et al.
Published: (2026)
by: Tang, Weidong, et al.
Published: (2026)
Super-additive Cooperation in Language Model Agents
by: Tonini, Filippo, et al.
Published: (2025)
by: Tonini, Filippo, et al.
Published: (2025)
FlightSense: An End-to-End MLOps Platform for Real-Time Flight Delay Prediction via Rotation-Chain Propagation Features and Agentic Conversational AI
by: Shelke, Aditi J., et al.
Published: (2026)
by: Shelke, Aditi J., et al.
Published: (2026)
Bridging SFT and DPO for Diffusion Model Alignment with Self-Sampling Preference Optimization
by: Zhang, Daoan, et al.
Published: (2024)
by: Zhang, Daoan, et al.
Published: (2024)
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
by: Leyli-abadi, Milad, et al.
Published: (2025)
by: Leyli-abadi, Milad, et al.
Published: (2025)
Efficient Neural Network Encoding for 3D Color Lookup Tables
by: Zehtab, Vahid, et al.
Published: (2024)
by: Zehtab, Vahid, et al.
Published: (2024)
GLL: A Differentiable Graph Learning Layer for Neural Networks
by: Brown, Jason, et al.
Published: (2024)
by: Brown, Jason, et al.
Published: (2024)
Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective
by: Loghmani, Erfan
Published: (2025)
by: Loghmani, Erfan
Published: (2025)
Adapting Multimodal Foundation Models for Few-Shot Learning: A Comprehensive Study on Contrastive Captioners
by: Narasinghe, N. K. B. M. P. K. B., et al.
Published: (2025)
by: Narasinghe, N. K. B. M. P. K. B., et al.
Published: (2025)
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
by: Landolsi, Erik, et al.
Published: (2024)
by: Landolsi, Erik, et al.
Published: (2024)
CAMAL: Improving Attention Alignment and Faithfulness with Segmentation Masks
by: Hundal, Rajdeep Singh, et al.
Published: (2026)
by: Hundal, Rajdeep Singh, et al.
Published: (2026)
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems
by: Nguyen, Viet Dung, et al.
Published: (2024)
by: Nguyen, Viet Dung, et al.
Published: (2024)
Anti-Interference Diffractive Deep Neural Networks for Multi-Object Recognition
by: Huang, Zhiqi, et al.
Published: (2025)
by: Huang, Zhiqi, et al.
Published: (2025)
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
by: Nishiyama, Daiki, et al.
Published: (2025)
by: Nishiyama, Daiki, et al.
Published: (2025)
Enhancing Eye Feature Estimation from Event Data Streams through Adaptive Inference State Space Modeling
by: Nguyen, Viet Dung, et al.
Published: (2026)
by: Nguyen, Viet Dung, et al.
Published: (2026)
Sample as You Infer: Predictive Coding With Langevin Dynamics
by: Zahid, Umais, et al.
Published: (2023)
by: Zahid, Umais, et al.
Published: (2023)
Context-dependent Causality (the Non-Nonotonic Case)
by: Billfeld, Nir, et al.
Published: (2024)
by: Billfeld, Nir, et al.
Published: (2024)
CerberusDet: Unified Multi-Dataset Object Detection
by: Tolstykh, Irina, et al.
Published: (2024)
by: Tolstykh, Irina, et al.
Published: (2024)
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
by: He, Yongquan, et al.
Published: (2024)
by: He, Yongquan, et al.
Published: (2024)
Reasoning Beyond the Obvious: Evaluating Divergent and Convergent Thinking in LLMs for Financial Scenarios
by: Bok, Zhuang Qiang, et al.
Published: (2025)
by: Bok, Zhuang Qiang, et al.
Published: (2025)
A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
by: Khandelwal, Vedant, et al.
Published: (2024)
by: Khandelwal, Vedant, et al.
Published: (2024)
Automated Circuit Interpretation via Probe Prompting
by: Birardi, Giuseppe
Published: (2025)
by: Birardi, Giuseppe
Published: (2025)
E-CHUM: Event-based Cameras for Human Detection and Urban Monitoring
by: Brady, Jack, et al.
Published: (2025)
by: Brady, Jack, et al.
Published: (2025)
GenAI Models Capture Urban Science but Oversimplify Complexity
by: Zhang, Yecheng, et al.
Published: (2025)
by: Zhang, Yecheng, et al.
Published: (2025)
Multi-Objective Optimization for Synthetic-to-Real Style Transfer
by: Chigot, Estelle, et al.
Published: (2026)
by: Chigot, Estelle, et al.
Published: (2026)
T-Norm Operators for EU AI Act Compliance Classification: An Empirical Comparison of Lukasiewicz, Product, and Gödel Semantics in a Neuro-Symbolic Reasoning System
by: Laabs, Adam
Published: (2026)
by: Laabs, Adam
Published: (2026)
Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection
by: Zhang, Chuhan, et al.
Published: (2025)
by: Zhang, Chuhan, et al.
Published: (2025)
FeedbackSTS-Det: Sparse Frames-Based Spatio-Temporal Semantic Feedback Network for Moving Infrared Small Target Detection
by: Huang, Yian, et al.
Published: (2026)
by: Huang, Yian, et al.
Published: (2026)
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
by: Nicolau, Marcio, et al.
Published: (2020)
by: Nicolau, Marcio, et al.
Published: (2020)
AC-LoRA: Auto Component LoRA for Personalized Artistic Style Image Generation
by: Cui, Zhipu, et al.
Published: (2025)
by: Cui, Zhipu, et al.
Published: (2025)
On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
by: Casanova, Etienne, et al.
Published: (2026)
by: Casanova, Etienne, et al.
Published: (2026)
Improving Fairness with Ensemble Combination: Margin-Dependent Bounds
by: Bian, Yijun
Published: (2023)
by: Bian, Yijun
Published: (2023)
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025)
by: Trinh, Minh, et al.
Published: (2025)
Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
by: Huang, Xuanxiang, et al.
Published: (2025)
by: Huang, Xuanxiang, et al.
Published: (2025)
Learning Can Converge Stably to the Wrong Belief under Latent Reliability
by: Zhang, Zhipeng, et al.
Published: (2026)
by: Zhang, Zhipeng, et al.
Published: (2026)
Tensor Generalized Approximate Message Passing
by: Li, Yinchuan, et al.
Published: (2025)
by: Li, Yinchuan, et al.
Published: (2025)
How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
by: Nolte, Robin, et al.
Published: (2025)
by: Nolte, Robin, et al.
Published: (2025)
Similar Items
-
Better Schedules for Low Precision Training of Deep Neural Networks
by: Wolfe, Cameron R., et al.
Published: (2024) -
Once-For-All: A Train-Once and Select-Anytime Framework for Multimodal Instruction Tuning
by: Dong, Mingkang, et al.
Published: (2026) -
Context-Enriched Contrastive Loss: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework
by: Deng, Haojin, et al.
Published: (2025) -
Inference-Time Scaling for Visual AutoRegressive modeling by Searching Representative Samples
by: Tang, Weidong, et al.
Published: (2026) -
Super-additive Cooperation in Language Model Agents
by: Tonini, Filippo, et al.
Published: (2025)