Point clouds, detection and remote sensing
Key facts. Point clouds, detection and remote sensing: 212 papers on arXiv since 2024 (data through 7 Oct 2026). 23 of its 212 mapped papers (11%) cite “PointMamba: A Simple State Space Model for Point Cloud Analysis” (2024, arXiv 2402.10739). 13 of its 212 mapped papers (6%) cite “RSMamba: Remote Sensing Image Classification with State Space Model” (2024, arXiv 2403.19654). 6 new papers 18 Sep–7 Oct.
What’s new
18 Sep – 7 Oct 2026
6 new papers, 18 Sep – 7 Oct; 1 this week.
- This week · 1
- Weave Mamba Fusion: Global Cross-Scale Interaction for Lightweight Face Detection also fits: Vision Mamba backbones
- Earlier · 5
- StarBOA: Real-Time Mamba State-Space Unrolling for Sparse Radar Micro-Doppler in ISAC Networks also fits: Time series forecasting with SSMs
- Temporally Ordered Region-Token Mamba with Logit-Space Diffusion for Remote Sensing Change Detection
- Point Diffusion Mamba: Unified Diffusion-State-Space Modeling for Single-View 3D Reconstruction under Data Scarcity also fits: Video, motion and generative Mamba models
- PointLAM: Local Attentive Mamba for Efficient Point-based 3D Object Detection
- S3VD: Semantic-Guidance Spatio-Temporal Scanning for Video Deraining
Foundations
Most cited by papers here
- PointMamba: A Simple State Space Model for Point Cloud Analysis2024cited by 23 here
- RSMamba: Remote Sensing Image Classification with State Space Model2024cited by 13 here
- ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model2024cited by 13 here
- Point Cloud Mamba: Point Cloud Learning via State Space Model2024cited by 12 here
- RS-Mamba for Large Remote Sensing Image Dense Prediction2024cited by 12 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2021Efficiently Modeling Long Sequences with Structured State Spacescited by 70 here
- 2022Diagonal State Spaces are as Effective as Structured State Spacescited by 11 here
- 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 123 here
- 2024U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentationcited by 21 here
- 2024Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Modelcited by 81 here
- 2024VM-UNet: Vision Mamba UNet for Medical Image Segmentationcited by 21 here
- 2024EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mambacited by 10 here
- 2024MambaVision: A Hybrid Mamba-Transformer Vision Backbonecited by 13 here
16 more it builds on, not in this chain
- 2022Simplified State Space Layers for Sequence Modelingcited by 27 here
- 2024Vivim: a Video Vision Mamba for Medical Video Segmentationcited by 8 here
- 2024Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingcited by 9 here
- 2024Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentationcited by 8 here
- 2024PointMamba: A Simple State Space Model for Point Cloud Analysiscited by 23 here
- 2024Pan-Mamba: Effective pan-sharpening with State Space Modelcited by 10 here
- 2024MambaIR: A Simple Baseline for Image Restoration with State-Space Modelcited by 15 here
- 2024Point Cloud Mamba: Point Cloud Learning via State Space Modelcited by 12 here
- 2024LocalMamba: Visual State Space Model with Windowed Selective Scancited by 17 here
- 2024PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognitioncited by 9 here
- 2024RSMamba: Remote Sensing Image Classification with State Space Modelcited by 13 here
- 2024RS-Mamba for Large Remote Sensing Image Dense Predictioncited by 12 here
- 2024ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Modelcited by 13 here
- 2024Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Modelcited by 12 here
- 2024Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Dualitycited by 12 here
- 2024Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detectioncited by 11 here
The 24 most cited of 188.
Browse
30 of 212, ranked 6–35
- 6Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model202412
- 7Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection202411
- 8MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection20248
- 9RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic Segmentation20248
- 10FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba20248
- 11DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote Sensing20247
- 12Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy20246
- 13Fusion-Mamba for Cross-modality Object Detection20246
- 14LION: Linear Group RNN for 3D Object Detection in Point Clouds20246
- 15Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model20245
All 30
- 16RSCaMa: Remote Sensing Image Change Captioning with State Space Model20245
- 17CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation20245
- 18PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis20245
- 19CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection20245
- 20MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion20244
- 21Mamba-FETrack: Frame-Event Tracking via State Space Model20244
- 22MaDiNet: Mamba Diffusion Network for SAR Target Detection20244
- 23Spectral Informed Mamba for Robust Point Cloud Processing20253
- 24FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model20243
- 25Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study20243
- 26PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery20243
- 27SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures20252
- 28PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter20252
- 29ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding20252
- 30StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning20252
- 31HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning20252
- 32CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis20252
- 33Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution20242
- 34MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models20242
- 35LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling20242