Cover Image

When marine radar target detection meets pretrained large language models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hu, Qiying, Zhang, Linping, Wang, Xueqian, Li, Gang, Liu, Yu, Zhang, Xiao-Ping
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KAN-powered large-target detection for automotive radar
by: Kulkarni, Vinay, et al.
Published: (2025)

EEG-CLIP : Learning EEG representations from natural language descriptions
by: Ndir, Tidiane Camaret, et al.
Published: (2025)

Learning the relative composition of EEG signals using pairwise relative shift pretraining
by: Sandino, Christopher, et al.
Published: (2025)

Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter
by: Rouzoumka, Y. A., et al.
Published: (2025)

A comprehensive evaluation of pretraining strategies for channel-agnostic contrastive self-supervision of biosignals
by: Brüsch, Thea, et al.
Published: (2024)

RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning
by: Hu, Qiying, et al.
Published: (2025)

Online waveform selection for cognitive radar
by: Tholeti, Thulasi, et al.
Published: (2024)

SignalLLM: A General-Purpose LLM Agent Framework for Automated Signal Processing
by: Ke, Junlong, et al.
Published: (2025)

Solving ill-conditioned polynomial equations using score-based priors with application to multi-target detection
by: Beinhorn, Rafi, et al.
Published: (2025)

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
by: Wan, Zhongwei, et al.
Published: (2024)

A Novel Radar Constant False Alarm Rate Detection Algorithm Based on VAMP Deep Unfolding
by: Zhang, Haoyun, et al.
Published: (2025)

Teaching large language models to see in radar: aspect-distributed prototypes for few-shot HRRP ATR
by: Bi, De, et al.
Published: (2025)

TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly
by: Koike-Akino, Toshiaki, et al.
Published: (2026)

Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design
by: Qu, Linping, et al.
Published: (2024)

Parameter Convergence Radar Detector Based on VAMP Deep Unfolding
by: Zhang, Haoyun, et al.
Published: (2025)

Wavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning
by: Luo, Yifu, et al.
Published: (2025)

Time-Distributed Feature Learning for Internet of Things Network Traffic Classification
by: Manjunath, Yoga Suhas Kuruba, et al.
Published: (2024)

Continuous subsurface property retrieval from sparse radar observations using physics informed neural networks
by: Aziz, Ishfaq, et al.
Published: (2025)

GeoPep: A geometry-aware masked language model for protein-peptide binding site prediction
by: Chen, Dian, et al.
Published: (2025)

On the challenges of detecting MCI using EEG in the wild
by: Mishra, Aayush, et al.
Published: (2025)

Beyond Sinusoids: A Morlet Wavelet Framework for Transformer Positional Encoding
by: Zeris, Athanasios
Published: (2026)

Energy-Gated Attention and Wavelet Positional Encoding: Complementary Inductive Biases for Transformer Attention
by: Zeris, Athanasios
Published: (2026)

Dynamic Fault Characteristics Evaluation in Power Grid
by: Pei, Hao, et al.
Published: (2023)

A Graph Signal Processing Framework for Hallucination Detection in Large Language Models
by: Noël, Valentin
Published: (2025)

Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding
by: Gedawy, Mostafa El, et al.
Published: (2025)

Can VLM Pseudo-Labels Train a Time-Series QA Model That Outperforms the VLM?
by: Fujimura, Takuya, et al.
Published: (2025)

Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression
by: Wan, Li, et al.
Published: (2024)

Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR
by: Ray, Lala Shakti Swarup, et al.
Published: (2024)

Energy-Gated Attention: Spectral Salience as an Inductive Bias for Transformer Attention
by: Zeris, Athanasios
Published: (2026)

Training-Free Spectral Fingerprints of Voice Processing in Transformers
by: Noël, Valentin
Published: (2025)

Reframing preprocessing selection as model-internal calibration in near-infrared spectroscopy: A large-scale benchmark of operator-adaptive PLS and Ridge models
by: Beurier, Gregory, et al.
Published: (2026)

Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorch
by: Liu, Lei, et al.
Published: (2025)

Codebook-Based Beam Tracking for Conformal ArrayEnabled UAV MmWave Networks
by: Zhang, Jinglin, et al.
Published: (2020)

Deep Learning Modeling Method for RF Devices Based on Uniform Noise Training Set
by: Hu, Zhaokun, et al.
Published: (2024)

A Physics-Embedded Dual-Learning Imaging Framework for Electrical Impedance Tomography
by: Yang, Xuanxuan, et al.
Published: (2024)

A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition
by: Liu, Xiao-Yin, et al.
Published: (2024)

TrustEMG-Net: Using Representation-Masking Transformer with U-Net for Surface Electromyography Enhancement
by: Wang, Kuan-Chen, et al.
Published: (2024)

ECG-Expert-QA: A Benchmark for Evaluating Medical Large Language Models in Heart Disease Diagnosis
by: Wang, Xu, et al.
Published: (2025)

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network
by: Liu, Yu-Tung, et al.
Published: (2024)

On the analysis of saturated pressure to detect fatigue
by: Faundez-Zanuy, Marcos, et al.
Published: (2024)