Cover Image

MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Behrouz, Ali, Santacatterina, Michele, Zabih, Ramin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
by: Behrouz, Ali, et al.
Published: (2024)

R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation
by: Sun, Yongheng, et al.
Published: (2024)

FFNet: MetaMixer-based Efficient Convolutional Mixer Design
by: Yun, Seokju, et al.
Published: (2024)

RadMamba: Efficient Human Activity Recognition through Radar-based Micro-Doppler-Oriented Mamba State-Space Model
by: Wu, Yizhuo, et al.
Published: (2025)

SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders
by: Martinel, Niki, et al.
Published: (2024)

Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection
by: Senadeera, Damith Chamalke, et al.
Published: (2025)

Exploring Token Pruning in Vision State Space Models
by: Zhan, Zheng, et al.
Published: (2024)

PoM: Efficient Image and Video Generation with the Polynomial Mixer
by: Picard, David, et al.
Published: (2024)

DF-Mamba: Deformable State Space Modeling for 3D Hand Pose Estimation in Interactions
by: Zhou, Yifan, et al.
Published: (2025)

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

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking
by: Wang, Shiao, et al.
Published: (2025)

MixerCSeg: An Efficient Mixer Architecture for Crack Segmentation via Decoupled Mamba Attention
by: Zhao, Zilong, et al.
Published: (2026)

Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification
by: Tsutsumi, Ayaka, et al.
Published: (2025)

Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
by: Han, Xu, et al.
Published: (2024)

Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity
by: Liang, Weixin, et al.
Published: (2025)

MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
by: Yahathugoda, Yovin, et al.
Published: (2025)

Efficient World Models with Context-Aware Tokenization
by: Micheli, Vincent, et al.
Published: (2024)

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning
by: Jeong, Wooseong, et al.
Published: (2025)

FOCUS: Efficient Keyframe Selection for Long Video Understanding
by: Zhu, Zirui, et al.
Published: (2025)

Unsupervised Dynamic Feature Selection for Robust Latent Spaces in Vision Tasks
by: Corcuera, Bruno, et al.
Published: (2025)

Consensus-Driven Active Model Selection
by: Kay, Justin, et al.
Published: (2025)

MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
by: Yoshimura, Masakazu, et al.
Published: (2024)

SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction
by: Chen, Ying, et al.
Published: (2024)

Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers
by: Zheng, Shuhong, et al.
Published: (2026)

FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation
by: Honarmand, Mohammadmahdi, et al.
Published: (2025)

Vision Backbone Efficient Selection for Image Classification in Low-Data Regimes
by: Guerin, Joris, et al.
Published: (2024)

Efficient and Robust Quantization-aware Training via Adaptive Coreset Selection
by: Huang, Xijie, et al.
Published: (2023)

(1D) Ordered Tokens Enable Efficient Test-Time Search
by: Gao, Zhitong, et al.
Published: (2026)

VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation
by: Munir, Mustafa, et al.
Published: (2025)

Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation
by: Mo, Shentong, et al.
Published: (2024)

A Multimodal Fusion Model Leveraging MLP Mixer and Handcrafted Features-based Deep Learning Networks for Facial Palsy Detection
by: Oo, Heng Yim Nicole, et al.
Published: (2025)

Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection
by: Li, Bangzheng, et al.
Published: (2025)

Shiva-DiT: Residual-Based Differentiable Top-$k$ Selection for Efficient Diffusion Transformers
by: Zhang, Jiaji, et al.
Published: (2026)

Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs
by: Mo, Shentong
Published: (2024)

MambaOut: Do We Really Need Mamba for Vision?
by: Yu, Weihao, et al.
Published: (2024)

HyDRA: Hierarchical and Dynamic Rank Adaptation for Mobile Vision Language Model
by: Xi, Yuanhao, et al.
Published: (2025)

Temporal Test-Time Adaptation with State-Space Models
by: Schirmer, Mona, et al.
Published: (2024)

SceneTok: A Compressed, Diffusable Token Space for 3D Scenes
by: Asim, Mohammad, et al.
Published: (2026)

Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
by: Rojas, Kevin, et al.
Published: (2025)

Rethinking Token-wise Feature Caching: Accelerating Diffusion Transformers with Dual Feature Caching
by: Zou, Chang, et al.
Published: (2024)