mlsanityData to 14 Oct 2026

MaDiNet: Mamba Diffusion Network for SAR Target Detection

arXiv 2411.07500 ↗First posted 12 Nov 2024eess.IVcited by 13

On the map: State-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing

Abstract (arXiv)

The fundamental challenge in SAR target detection lies in developing discriminative, efficient, and robust representations of target characteristics within intricate non-cooperative environments. However, accurate target detection is impeded by factors including the sparse distribution and discrete features of the targets, as well as complex background interference. In this study, we propose a Mamba Diffusion Network (MaDiNet) for SAR target detection. Specifically, MaDiNet conceptualizes SAR target detection as the task of generating the position (center coordinates) and size (width and height) of the bounding boxes in the image space. Furthermore, we design a MambaSAR module to capture intricate spatial structural information of targets and enhance the capability of the model to differentiate between targets and complex backgrounds. The experimental results on extensive SAR target detection datasets achieve SOTA, proving the effectiveness of the proposed network. Code is available at hrefhttps://github.com/JoyeZLearning/MaDiNethttps://github.com/JoyeZLearning/MaDiNet.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Placed in Point clouds, detection and remote sensing, one of 10 directions in State-space sequence models (S4, Mamba). Builds on 17 of its 80 references that are in the map. First posted on arXiv 12 Nov 2024.

Builds on

17 of 80 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024Mamba YOLO: A Simple Baseline for Object Detection with State Space Model9 Jun

Other references · 16

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  3. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,718
  4. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,356
  5. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,614
  6. 2018YOLOv3: An Incremental Improvementcited by 2,659
  7. 2021Efficiently Modeling Long Sequences with Structured State Spacescited by 2,465
  8. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,630
  9. 2019FCOS: Fully Convolutional One-Stage Object Detectioncited by 1,577
  10. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,071
  11. 2024Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Modelcited by 1,056
  12. 2024MambaVision: A Hybrid Mamba-Transformer Vision Backbonecited by 224
4 more
  1. 2023Agent Attention: On the Integration of Softmax and Linear Attentioncited by 90
  2. 2024Pan-Mamba: Effective pan-sharpening with State Space Modelcited by 73
  3. 2024SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detectioncited by 48
  4. 2024ConsistencyDet: A Few-step Denoising Framework for Object Detection Using the Consistency Modelcited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 8; 2026: 4.

13 papers.

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  1. 2025EarthGPT-X: A Spatial MLLM for Multi-level Multi-Source Remote Sensing Imagery Understanding with Visual Promptingcited by 11
  2. 2025Visual Instruction Pretraining for Domain-Specific Foundation Modelscited by 9
  3. 2025Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlookcited by 6
  4. 2024Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learningcited by 5
  5. 2025Spatial-Frequency Enhanced Mamba for Multi-Modal Image Fusioncited by 5
  6. 2025PAD: Phase-Amplitude Decoupling Fusion for Multi-Modal Land Cover Classificationcited by 2
  7. 2025Multi-Expert Learning Framework with the State Space Model for Optical and SAR Image Registrationcited by 1
  8. 2025Dual-Stream Spectral Decoupling Distillation for Remote Sensing Object Detectioncited by 1
  9. 2026Light-ResKAN: A Parameter-Sharing Lightweight KAN with Gram Polynomials for Efficient SAR Image Recognitioncited by 1
  10. 2026SAMBA: A Scatter-Guided Masked Bidirectional Mamba Foundation Model for SAR Target Recognitioncited by 1
  11. 2025SAR-FAH: A Frequency-Adaptive Hybrid Network based on Neural ODEs for Structural-Preserving SAR Despecklingcited by 0
  12. 2026Consistency-Regularized GAN for Few-Shot SAR Target Recognitioncited by 0
1 more
  1. 2026Boundary-Aligned Contribution Routing for Robust Optical--SAR Object Detectioncited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024DiffDet4SAR: Diffusion-based Aircraft Target Detection Network for SAR Images
  2. 2025Selective Structured State Space for Multispectral-fused Small Target Detection
  3. 2026Cross-Sensor SAR Data Generation Using Diffusion Models and Feature Migration
  4. 2025M2CD: A Unified MultiModal Framework for Optical-SAR Change Detection with Mixture of Experts and Self-Distillation
  5. 2025FMNet: Frequency-Assisted Mamba-Like Linear Attention Network for Camouflaged Object Detection
  6. 2024SAR Image Synthesis with Diffusion Models
  7. 2024MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification
  8. 2026LCMamNet: A Lightweight Cross-scale Mamba Network for Infrared Small Target Detection