HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation | Paper Citation Record

Observation deb8ddd4-0fba-49bd-b522-059bec3b262f · outbound

This paper cites A comparative study of real-time semantic segmentation for autonomous driving,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation A comparative study of real-time semantic segmentation for autonomous driving,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:42.157400Z

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Observation d4c9c399-6cda-402f-9246-de79b7d0d01b · outbound

This paper cites Mask-based panoptic lidar segmentation for autonomous driving,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Mask-based panoptic lidar segmentation for autonomous driving,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:42.141467Z

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Observation 718ccdf4-bdd5-4696-ba89-d50150607d66 · outbound

This paper cites Pointmoseg: Sparse tensor-based end-to-end moving-obstacle segmentation in 3-d lidar point clouds for autonomous driving,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Pointmoseg: Sparse tensor-based end-to-end moving-obstacle segmentation in 3-d lidar point clouds for autonomous driving,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:42.126064Z

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Observation b5ddb77d-df5f-448f-935f-71b025850814 · outbound

This paper cites Epnet++: Cascade bi-directional fusion for multi-modal 3d object detection,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Epnet++: Cascade bi-directional fusion for multi-modal 3d object detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:42.109502Z

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Observation f129ec39-acdf-4747-ba34-57b9fd0f91d2 · outbound

This paper cites Indoor semantic segmentation for robot navigat- ing on mobile,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Indoor semantic segmentation for robot navigat- ing on mobile,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:42.093616Z

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Observation 2917b212-4678-4ab3-8c7b-591213ad0105 · outbound

This paper cites Multi-view incremental segmentation of 3-d point clouds for mobile robots,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Multi-view incremental segmentation of 3-d point clouds for mobile robots,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:42.078561Z

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Observation 4f0b1102-6e7f-4a7a-8c15-1e2f8e5644df · outbound

This paper cites Semantickitti: A dataset for semantic scene under- standing of lidar sequences,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Semantickitti: A dataset for semantic scene under- standing of lidar sequences,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:42.062928Z

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Observation 43879717-cd7c-4d7d-acdc-0b9c7684136a · outbound

This paper cites Attention is all you need,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Attention is all you need,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:42.047417Z

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Observation b53852d3-77bf-4dd5-b0a9-2708d51217e3 · outbound

This paper cites Point transformer,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Point transformer,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:42.032193Z

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Observation 631c2bfb-4232-48b7-96c1-8db27f7bc512 · outbound

This paper cites Patchformer: An efficient point transformer with patch attention,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Patchformer: An efficient point transformer with patch attention,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:42.016241Z

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Observation 810e0957-57a8-40af-864a-1bd2b624a40e · outbound

This paper cites Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.145174Z

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Observation acef9686-57e2-4951-924a-e2856e0a3fb4 · outbound

This paper cites Octformer: Octree-based transformers for 3d point clouds,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Octformer: Octree-based transformers for 3d point clouds,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.999942Z

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Observation 376e8717-1569-43ab-a835-a378e6507073 · outbound

This paper cites Point transformer v2: Grouped vector attention and partition-based pooling,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Point transformer v2: Grouped vector attention and partition-based pooling,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.984206Z

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Observation 977e3cbc-3781-4ddf-a66a-1c8634357d4f · outbound

This paper cites Point transformer v3: Simpler faster stronger,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Point transformer v3: Simpler faster stronger,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.968041Z

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Observation df7cf804-a240-4954-bc49-370d168dec48 · outbound

This paper cites Fast point transformer,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Fast point transformer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.953107Z

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Observation 948e144e-250e-4582-abdc-74baf55e85ca · outbound

This paper cites Stratified transformer for 3d point cloud segmentation,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Stratified transformer for 3d point cloud segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.938026Z

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Observation b0485756-2fc7-4045-bf06-683a776c9c71 · outbound

This paper cites Spherical transformer for lidar-based 3d recognition,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Spherical transformer for lidar-based 3d recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.923109Z

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Observation 02a460d8-d12b-43ec-ba4f-dc1d9f2896df · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.182131Z

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Observation 705fe000-296f-4776-8429-6b54f5d80db2 · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Vision mamba: Efficient visual representation learning with bidirectional state space model,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.907493Z

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Observation 7a3a8db8-656a-4e42-8082-d4e2d56427d0 · outbound

This paper cites Vmamba: Visual state space model,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Vmamba: Visual state space model,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.892459Z

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Observation 2869a65c-c21f-4cad-85a7-4de2789fcd05 · outbound

This paper cites LocalMamba: Visual State Space Model with Windowed Selective Scan.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation LocalMamba: Visual State Space Model with Windowed Selective Scan

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.197297Z

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Observation 523e9910-7440-4ea0-979c-2bab3e480c39 · outbound

This paper cites EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.202881Z

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Observation 0bf9c88e-159a-4c90-8bfb-ead569fe876d · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.207934Z

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Observation 8ae2a6f7-7f79-42ad-b955-77015704d204 · outbound

This paper cites Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.213503Z

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Observation 3db89f6d-faf2-4f6a-a158-973eab5d91a8 · outbound

This paper cites Point Cloud Mamba: Point Cloud Learning via State Space Model.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.218628Z

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Observation 3ed8cbb3-ef51-48bc-afb4-6c44b806c135 · outbound

This paper cites Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.223746Z

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Observation 7da4bce5-dc36-422d-8897-391b73fce999 · outbound

This paper cites 3d semantic segmentation with submanifold sparse convolutional networks,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation 3d semantic segmentation with submanifold sparse convolutional networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.877742Z

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Observation 5d8050ff-37f9-48d0-9204-5ec1fae23e65 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Scannet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.862371Z

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Observation 565489d1-08ef-4012-bf14-4cb19ece1683 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation nuscenes: A multimodal dataset for autonomous driving,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.847404Z

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Observation 925d906f-e223-4092-9d51-caba5d6c1987 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Jamba: A Hybrid Transformer-Mamba Language Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.243354Z

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Observation bd8daf33-e3bd-48b1-8232-ac20a49a06e4 · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.248300Z

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Observation 0125617c-98b2-43d3-bae2-3209cc516791 · outbound

This paper cites MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:35:41.431779Z

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Observation 0a7cc978-5a2f-4e00-a518-6ca14f7ac017 · outbound

This paper cites MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image Generation.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image Generation

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:35:41.406146Z

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Observation 3231256e-71a1-44ca-b90b-2b9552036f46 · outbound

This paper cites Pct: Point cloud transformer,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Pct: Point cloud transformer,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.832364Z

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Observation 9e6cf212-cc3e-4b70-8af2-bbaef9c91429 · outbound

This paper cites Gaussian radar transformer for semantic segmentation in noisy radar data,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Gaussian radar transformer for semantic segmentation in noisy radar data,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.817178Z

Source-reported events for the cited work

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Observation ab4ad5a5-a753-4a45-af7a-a1d268194f4e · outbound

This paper cites Transformers are ssms: Generalized models and efficient algorithms through structured state space duality,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Transformers are ssms: Generalized models and efficient algorithms through structured state space duality,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.802208Z

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Observation f8ced228-0406-4c5a-adb8-3787f29f2536 · outbound

This paper cites Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:41.279944Z

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Observation 54566c65-513c-4577-a066-6c0911a4d65a · outbound

This paper cites Mim-istd: Mamba-in-mamba for efficient infrared small target detection,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Mim-istd: Mamba-in-mamba for efficient infrared small target detection,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.786521Z

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Observation c99edb32-6899-4cb7-b744-e60e05156b41 · outbound

This paper cites Omega: Efficient occlusion-aware navigation for air-ground robot in dynamic environments via state space model,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Omega: Efficient occlusion-aware navigation for air-ground robot in dynamic environments via state space model,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.771354Z

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Observation 49578ddb-fa17-470d-a367-0b9bf5272547 · outbound

This paper cites Lion: Linear group rnn for 3d object detection in point clouds,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Lion: Linear group rnn for 3d object detection in point clouds,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.755426Z

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Observation 97210143-9bf7-4536-9a20-4065a4881f6f · outbound

This paper cites 3d semantic parsing of large-scale indoor spaces,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation 3d semantic parsing of large-scale indoor spaces,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.738426Z

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Observation 9d37deea-9959-48b1-9565-b6910541342e · outbound

This paper cites Decoupled weight decay regularization,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Decoupled weight decay regularization,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.722682Z

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Observation c55d0524-ef7a-420c-8ce6-f361d0ecf6f8 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.707229Z

Source-reported events for the cited work

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Observation 0496f2b4-6c6f-4c79-a554-77dbee0541e0 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.690364Z

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Observation ceaa1fca-a2fd-4479-bd77-833f94ac4e3e · outbound

This paper cites O-cnn: Octree-based convolutional neural networks for 3d shape analysis,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation O-cnn: Octree-based convolutional neural networks for 3d shape analysis,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.672964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb7171f2-c6f3-4f11-8071-56bc114b1a34 · outbound

This paper cites Search- ing efficient 3d architectures with sparse point-voxel convolution,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Search- ing efficient 3d architectures with sparse point-voxel convolution,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.655959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 898213b7-64df-472f-bc44-ea186cc1442b · outbound

This paper cites Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.640343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a771f264-fcb8-4eee-b853-9f99ae715044 · outbound

This paper cites 2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation 2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.624582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d135b47d-8609-46d5-b5d4-e309487c9e3a · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies,.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Pointnext: Revisiting pointnet++ with improved training and scaling strategies,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:41.607727Z

Source-reported events for the cited work

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