Cover Image

Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Tao, Wen, Wei, Zhai, Jingzhi, Xu, Kang, Luo, Haoming
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MT-PCR: Hybrid Mamba-Transformer Network with Spatial Serialization for Point Cloud Registration
by: Liu, Bingxi, et al.
Published: (2025)

GlobalMamba: Global Image Serialization for Vision Mamba
by: Wang, Chengkun, et al.
Published: (2024)

ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding
by: Diao, Linshuang, et al.
Published: (2025)

DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion
by: Li, Yinghui, et al.
Published: (2025)

Point Cloud Mamba: Point Cloud Learning via State Space Model
by: Zhang, Tao, et al.
Published: (2024)

PointMamba: A Simple State Space Model for Point Cloud Analysis
by: Liang, Dingkang, et al.
Published: (2024)

Efficient Spiking Point Mamba for Point Cloud Analysis
by: Wu, Peixi, et al.
Published: (2025)

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
by: Zha, Yaohua, et al.
Published: (2025)

ForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation
by: Nguyen, Trung Thanh, et al.
Published: (2026)

TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking
by: Liu, Bingxi, et al.
Published: (2025)

MambaPlace:Text-to-Point-Cloud Cross-Modal Place Recognition with Attention Mamba Mechanisms
by: Shang, Tianyi, et al.
Published: (2024)

Spectral Informed Mamba for Robust Point Cloud Processing
by: Bahri, Ali, et al.
Published: (2025)

StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning
by: Wang, Chuxin, et al.
Published: (2025)

PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis
by: Wang, Zicheng, et al.
Published: (2024)

FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation
by: Lin, Min, et al.
Published: (2024)

PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining
by: Lin, Xuanyu, et al.
Published: (2025)

CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis
by: Qu, Kanglin, et al.
Published: (2025)

Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy
by: Liu, Jiuming, et al.
Published: (2024)

NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization
by: Li, Zhen, et al.
Published: (2025)

PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model
by: Zhang, Zhang, et al.
Published: (2025)

TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba
by: Liu, Jiaxu, et al.
Published: (2025)

Mantis: Mamba-native Tuning is Efficient for 3D Point Cloud Foundation Models
by: Guo, Zihao, et al.
Published: (2026)

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning
by: Qu, Kanglin, et al.
Published: (2025)

ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba
by: Zhai, Huiyu, et al.
Published: (2024)

Breaking Spatial Uniformity: Prior-Guided Mamba with Radial Serialization for Lens Flare Removal
by: Fu, Zijia, et al.
Published: (2026)

RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection
by: Lu, Cheng, et al.
Published: (2026)

SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
by: Chen, Chuang, et al.
Published: (2025)

Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding
by: Jiang, Jincen, et al.
Published: (2026)

Minkowski-MambaNet: A Point Cloud Framework with Selective State Space Models for Forest Biomass Quantification
by: Tu, Jinxiang, et al.
Published: (2025)

DM3D: Deformable Mamba via Offset-Guided Differentiable Scanning for Point Cloud Understanding
by: Liu, Bin, et al.
Published: (2025)

SegPoint: Segment Any Point Cloud via Large Language Model
by: He, Shuting, et al.
Published: (2024)

MambaNetLK: Enhancing Colonoscopy Point Cloud Registration with Mamba
by: Jiang, Linzhe, et al.
Published: (2025)

MambaH-Fit: Rethinking Hyper-surface Fitting-based Point Cloud Normal Estimation via State Space Modelling
by: Wang, Weijia, et al.
Published: (2025)

{S$^3$-Mamba}: Small-Size-Sensitive Mamba for Lesion Segmentation
by: Wang, Gui, et al.
Published: (2024)

MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression
by: Hsieh, Kai-Hsiang, et al.
Published: (2025)

Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification
by: Zhou, Weilian, et al.
Published: (2024)

MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation
by: Xu, Qing, et al.
Published: (2025)

Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
by: Zhang, Guowen, et al.
Published: (2024)

AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual Segmentation
by: Gong, Sitong, et al.
Published: (2025)

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion
by: Wu, Yang, et al.
Published: (2025)