Copertina

SpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Yao, Yang, Dong, Qiao, Zhi, Huang, Wenjian, Yang, Liuzhi, Qian, Zhen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

O-Mamba: O-shape State-Space Model for Underwater Image Enhancement
di: Dong, Chenyu, et al.
Pubblicazione: (2024)

SpectralMamba-UNet: Frequency-Disentangled State Space Modeling for Texture-Structure Consistent Medical Image Segmentation
di: Zhang, Fuhao, et al.
Pubblicazione: (2026)

FTMoMamba: Motion Generation with Frequency and Text State Space Models
di: Li, Chengjian, et al.
Pubblicazione: (2024)

DeRainMamba: A Frequency-Aware State Space Model with Detail Enhancement for Image Deraining
di: Zhu, Zhiliang, et al.
Pubblicazione: (2025)

MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
di: Tang, Fenghe, et al.
Pubblicazione: (2024)

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation
di: Chang, Ao, et al.
Pubblicazione: (2024)

ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration
di: Yang, Cheng, et al.
Pubblicazione: (2025)

SP-Mamba: Spatial-Perception State Space Model for Unsupervised Medical Anomaly Detection
di: Pan, Rui, et al.
Pubblicazione: (2025)

FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining
di: Li, Dong, et al.
Pubblicazione: (2024)

WaterMamba: Visual State Space Model for Underwater Image Enhancement
di: Guan, Meisheng, et al.
Pubblicazione: (2024)

FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining
di: Zhen, Zou, et al.
Pubblicazione: (2024)

MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image Segmentation
di: Bian, Chenyuan, et al.
Pubblicazione: (2024)

Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation
di: Adame, Diego, et al.
Pubblicazione: (2026)

RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
di: Wu, Hongtao, et al.
Pubblicazione: (2024)

Versatile and Efficient Medical Image Super-Resolution Via Frequency-Gated Mamba
di: Huang, Wenfeng, et al.
Pubblicazione: (2025)

StyleMamba : State Space Model for Efficient Text-driven Image Style Transfer
di: Wang, Zijia, et al.
Pubblicazione: (2024)

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration
di: Peng, Long, et al.
Pubblicazione: (2025)

VideoMamba: State Space Model for Efficient Video Understanding
di: Li, Kunchang, et al.
Pubblicazione: (2024)

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
di: Xing, Zhaohu, et al.
Pubblicazione: (2024)

VL-Mamba: Exploring State Space Models for Multimodal Learning
di: Qiao, Yanyuan, et al.
Pubblicazione: (2024)

Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement
di: Zou, Wenbin, et al.
Pubblicazione: (2024)

MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking
di: Huang, Hsiang-Wei, et al.
Pubblicazione: (2024)

ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation
di: Huang, Jing, et al.
Pubblicazione: (2025)

Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models
di: Luan, Po-Chien, et al.
Pubblicazione: (2026)

Spatial-Frequency Enhanced Mamba for Multi-Modal Image Fusion
di: Sun, Hui, et al.
Pubblicazione: (2025)

Image Deraining with Frequency-Enhanced State Space Model
di: Yamashita, Shugo, et al.
Pubblicazione: (2024)

InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image Segmentation
di: Kareem, Daniya Najiha Abdul, et al.
Pubblicazione: (2025)

Progressive Split Mamba: Effective State Space Modelling for Image Restoration
di: Hassanin, Mohammed, et al.
Pubblicazione: (2026)

nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model
di: Gong, Haifan, et al.
Pubblicazione: (2024)

FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model
di: Peng, Siran, et al.
Pubblicazione: (2024)

Enhancing Knowledge Transfer in Hyperspectral Image Classification via Cross-scene Knowledge Integration
di: Huo, Lu, et al.
Pubblicazione: (2025)

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution
di: He, Linfeng, et al.
Pubblicazione: (2025)

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning
di: Cheng, De, et al.
Pubblicazione: (2024)

LocalMamba: Visual State Space Model with Windowed Selective Scan
di: Huang, Tao, et al.
Pubblicazione: (2024)

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
di: Huang, Jiahao, et al.
Pubblicazione: (2024)

Mamba YOLO: A Simple Baseline for Object Detection with State Space Model
di: Wang, Zeyu, et al.
Pubblicazione: (2024)

HTD-Mamba: Efficient Hyperspectral Target Detection with Pyramid State Space Model
di: Shen, Dunbin, et al.
Pubblicazione: (2024)

CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration
di: Deng, Rui, et al.
Pubblicazione: (2024)

MambaMIC: An Efficient Baseline for Microscopic Image Classification with State Space Models
di: Zou, Shun, et al.
Pubblicazione: (2024)

MambaIR: A Simple Baseline for Image Restoration with State-Space Model
di: Guo, Hang, et al.
Pubblicazione: (2024)