CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios | Paper Citation Record

Observation 5dc825ea-5a96-4aac-b2d0-ee7b8ec960a9 · outbound

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

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Point transformer v3: Simpler faster stronger,

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This paper cites Towards large-scale 3d representa- tion learning with multi-dataset point prompt train- ing,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Towards large-scale 3d representa- tion learning with multi-dataset point prompt train- ing,

Reference 2

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This paper cites Ex- ploring data-efficient 3d scene understanding with contrastive scene contexts,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Ex- ploring data-efficient 3d scene understanding with contrastive scene contexts,

Reference 3

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This paper cites Clip2scene: Towards label-efficient 3d scene understanding by clip,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Clip2scene: Towards label-efficient 3d scene understanding by clip,

Reference 4

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This paper cites 3d scene un- derstanding by voxel-crf,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios 3d scene un- derstanding by voxel-crf,

Reference 5

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Observation f5e8e754-50c7-44bf-abe7-c06901f44e43 · outbound

This paper cites A review of applications and potential applications of uav,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios A review of applications and potential applications of uav,

Reference 6

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Observation a3a1f558-d350-4008-a3db-e5d52fa649c1 · outbound

This paper cites Uav for 3d mapping ap- plications: a review,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Uav for 3d mapping ap- plications: a review,

Reference 7

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Observation 8c89506c-3bca-46b1-9ebc-14b78dae318f · outbound

This paper cites A re- view on uav-based applications for precision agricul- ture,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios A re- view on uav-based applications for precision agricul- ture,

Reference 8

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Observation d51b5792-4dec-40c9-a36f-0ce42bb749a2 · outbound

This paper cites Openscene: 3d scene understanding with open vocabularies,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Openscene: 3d scene understanding with open vocabularies,

Reference 9

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Observation e54a3390-1185-41b0-81c7-8f0048d01545 · outbound

This paper cites Open-vocabulary 3d semantic segmentation with foundation models,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Open-vocabulary 3d semantic segmentation with foundation models,

Reference 10

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Observation e23e3eeb-60db-415f-a7b8-d22bca94acd6 · outbound

This paper cites Open- vocabulary 3d semantic segmentation with text-to- image diffusion models,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Open- vocabulary 3d semantic segmentation with text-to- image diffusion models,

Reference 11

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Observation 66fe622d-c651-49e0-9493-f05cc98a34e6 · outbound

This paper cites Weakly super- vised 3d open-vocabulary segmentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Weakly super- vised 3d open-vocabulary segmentation,

Reference 12

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Observation 43d4e900-37e5-475b-a804-c15989e4b2d3 · outbound

This paper cites Seg- ment3d: Learning fine-grained class-agnostic 3d seg- mentation without manual labels,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Seg- ment3d: Learning fine-grained class-agnostic 3d seg- mentation without manual labels,

Reference 13

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This paper cites Re- gionplc: Regional point-language contrastive learning for open-world 3d scene understanding,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Re- gionplc: Regional point-language contrastive learning for open-world 3d scene understanding,

Reference 14

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This paper cites UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation

Reference 15

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Observation 12124a80-d56a-4e2c-80c6-a2fcf894680c · outbound

This paper cites Segment any point cloud se- quences by distilling vision foundation models,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Segment any point cloud se- quences by distilling vision foundation models,

Reference 16

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Observation 84bc033d-61e0-4093-bd7d-ddb4dbab8737 · outbound

This paper cites 3d open-vocabulary panoptic segmen- tation with 2d-3d vision-language distillation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios 3d open-vocabulary panoptic segmen- tation with 2d-3d vision-language distillation,

Reference 17

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Observation e5bc0279-e0a2-428b-a6cf-c9075f94c84e · outbound

This paper cites Pla: Language-driven open-vocabulary 3d scene un- derstanding,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Pla: Language-driven open-vocabulary 3d scene un- derstanding,

Reference 18

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Observation d245bb09-e15c-4d21-aa5f-b418866abe55 · outbound

This paper cites Open3dis: Open- vocabulary 3d instance segmentation with 2d mask guidance,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Open3dis: Open- vocabulary 3d instance segmentation with 2d mask guidance,

Reference 19

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Observation 8ca3f811-ab01-46a8-aeeb-f23d5b8ef4d9 · outbound

This paper cites Search3d: Hierarchi- cal open-vocabulary 3d segmentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Search3d: Hierarchi- cal open-vocabulary 3d segmentation,

Reference 20

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Observation 28fe4adf-2cdf-4832-8cde-4028a69f71c0 · outbound

This paper cites Pop-3d: Open- vocabulary 3d occupancy prediction from images,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Pop-3d: Open- vocabulary 3d occupancy prediction from images,

Reference 21

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Observation d2a580c5-7f29-4888-9938-fa483ef162d9 · outbound

This paper cites Lidarclip or: How i learned to talk to point clouds,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Lidarclip or: How i learned to talk to point clouds,

Reference 22

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Observation 10395ffa-fa41-4b4b-ab01-491893b3c250 · outbound

This paper cites DublinCity: Annotated LiDAR Point Cloud and its Applications.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios DublinCity: Annotated LiDAR Point Cloud and its Applications

Reference 23

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Observation a15a3669-ae8a-4aca-9f74-5a752e0fdef9 · outbound

This paper cites Dales: A large-scale aerial lidar data set for semantic segmenta- tion,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Dales: A large-scale aerial lidar data set for semantic segmenta- tion,

Reference 24

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Observation 8dc63b5b-5422-4371-b742-c735ff22ef62 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Grounding dino: Marrying dino with grounded pre-training for open-set object detection,

Reference 25

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Observation 6f88a95b-f0eb-4668-8ebf-3b9f5fe29cea · outbound

This paper cites Learning transferable visual models from natural language supervision,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Learning transferable visual models from natural language supervision,

Reference 26

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Observation 4985f04f-09ee-44ee-a4f1-7a78f266a885 · outbound

This paper cites Enhancing vehicle detection in intelli- gent transportation systems via autonomous uav plat- form and yolov8 integration,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Enhancing vehicle detection in intelli- gent transportation systems via autonomous uav plat- form and yolov8 integration,

Reference 27

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This paper cites Exploring the role of drones and uavs in logistics and supply chain management: a novel text- based literature review,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Exploring the role of drones and uavs in logistics and supply chain management: a novel text- based literature review,

Reference 28

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Observation 9f61394e-d286-4b8f-83f5-fbd46688b378 · outbound

This paper cites A review of electric uav visual detection and navigation technologies for emer- gency rescue missions,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios A review of electric uav visual detection and navigation technologies for emer- gency rescue missions,

Reference 29

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This paper cites K-means online-learning routing protocol (k-morp) for un- manned aerial vehicles (uav) adhoc networks,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios K-means online-learning routing protocol (k-morp) for un- manned aerial vehicles (uav) adhoc networks,

Reference 30

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Observation a8910fd6-7382-4d98-8ff7-9c4a0519b5da · outbound

This paper cites Uav-sim: Nerf-based synthetic data generation for uav-based perception,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Uav-sim: Nerf-based synthetic data generation for uav-based perception,

Reference 31

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This paper cites Urbanbis: a large-scale benchmark for fine-grained urban building instance segmentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Urbanbis: a large-scale benchmark for fine-grained urban building instance segmentation,

Reference 32

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This paper cites The hessigheim 3d (h3d) benchmark on semantic segmen- tation of high-resolution 3d point clouds and textured meshes from uav lidar and multi-view-stereo,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios The hessigheim 3d (h3d) benchmark on semantic segmen- tation of high-resolution 3d point clouds and textured meshes from uav lidar and multi-view-stereo,

Reference 33

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Observation aec16bca-8c7c-4c8c-827c-bb28125bce63 · outbound

This paper cites Sensaturban: Learning semantics from urban-scale photogrammetric point clouds,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Sensaturban: Learning semantics from urban-scale photogrammetric point clouds,

Reference 34

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Observation dc3fed11-2b54-4b88-8b4c-c3cfac18b508 · outbound

This paper cites Semantic segmentation on swiss3dcities: A benchmark study on aerial photogrammetric 3d pointcloud dataset,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Semantic segmentation on swiss3dcities: A benchmark study on aerial photogrammetric 3d pointcloud dataset,

Reference 35

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This paper cites Meta-rangeseg: Lidar sequence semantic segmentation using multiple fea- ture aggregation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Meta-rangeseg: Lidar sequence semantic segmentation using multiple fea- ture aggregation,

Reference 36

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Observation dd5472e5-0547-4ab6-a266-490d90508bf0 · outbound

This paper cites Mvpnet: A multi-scale voxel- point adaptive fusion network for point cloud seman- tic segmentation in urban scenes,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Mvpnet: A multi-scale voxel- point adaptive fusion network for point cloud seman- tic segmentation in urban scenes,

Reference 37

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Observation 2ef29f8c-7757-4388-816d-3af7b8c95de6 · outbound

This paper cites Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation,

Reference 38

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Observation a1e66fdd-c317-4e9b-aef8-4e84b3527e05 · outbound

This paper cites All points matter: entropy-regularized distribution alignment for weakly-supervised 3d segmentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios All points matter: entropy-regularized distribution alignment for weakly-supervised 3d segmentation,

Reference 39

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This paper cites Randla-net: Ef- ficient semantic segmentation of large-scale point clouds,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Randla-net: Ef- ficient semantic segmentation of large-scale point clouds,

Reference 40

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Observation d954a721-9058-4550-a84c-e6c1bf5baeed · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Kpconv: Flexible and deformable convolution for point clouds,

Reference 41

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Observation ef2ee908-76ee-4893-8acf-a2d2d3847eaa · outbound

This paper cites Push-the-boundary: Boundary-aware feature propa- gation for semantic segmentation of 3d point clouds,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Push-the-boundary: Boundary-aware feature propa- gation for semantic segmentation of 3d point clouds,

Reference 42

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Observation f0e3d02b-c997-45a9-b6e4-d883e944b9fd · outbound

This paper cites Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models

Reference 43

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This paper cites nuscenes: A multimodal dataset for au- tonomous driving,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios nuscenes: A multimodal dataset for au- tonomous driving,

Reference 44

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Observation e52fa3b1-b7dd-4e36-8b2a-d4c2bfa26ef1 · outbound

This paper cites In- door segmentation and support inference from rgbd images,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios In- door segmentation and support inference from rgbd images,

Reference 45

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Observation 393a21d9-69a1-4605-bc2e-4f55e75e0f89 · outbound

This paper cites Stpls3d: A large-scale synthetic and real aerial pho- togrammetry 3d point cloud dataset,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Stpls3d: A large-scale synthetic and real aerial pho- togrammetry 3d point cloud dataset,

Reference 46

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Observation e6e49751-c927-4bf8-ab62-f74f7b98ec34 · outbound

This paper cites Oa-cnns: Omni-adaptive sparse cnns for 3d semantic segmentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Oa-cnns: Omni-adaptive sparse cnns for 3d semantic segmentation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:26.730126Z

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Observation 72151c4b-357c-41ef-bf08-87e0a9ac91c4 · outbound

This paper cites Learning context-aware classifier for se- mantic segmentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Learning context-aware classifier for se- mantic segmentation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:26.525200Z

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Observation d13baa4f-be02-478c-9d8e-a50c542ff2ca · outbound

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

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Scannet: Richly- annotated 3d reconstructions of indoor scenes,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:26.314425Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 32343fad-7ff7-4a12-959f-76b2dc573646 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios 3d shapenets: A deep representation for volumetric shapes,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:26.120576Z

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Observation ea600b2e-acaa-4faf-82e7-ddb902e49e12 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios ShapeNet: An Information-Rich 3D Model Repository

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T21:06:16.770295Z

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Observation d1043bb2-cb64-4d53-b246-1465aaad5000 · outbound

This paper cites 3dgraphseg: A unified graph representation- based point cloud segmentation framework for full- range high-speed railway environments,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios 3dgraphseg: A unified graph representation- based point cloud segmentation framework for full- range high-speed railway environments,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:25.906190Z

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Observation feeaccc8-2e46-4723-8fee-dd3efbd8367c · outbound

This paper cites K-nearest neighbor,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios K-nearest neighbor,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T21:06:16.936557Z

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Observation b3102a37-161a-4194-9884-b2b689976984 · outbound

This paper cites Peano and G.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Peano and G

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:25.638575Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b5827bf2-d41d-4fa1-8347-2b022a2d85b0 · outbound

This paper cites Multi-space alignments towards universal lidar segmentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Multi-space alignments towards universal lidar segmentation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:25.446208Z

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Observation 2da5c154-ab0b-4e19-a164-e5acd21d5d3a · outbound

This paper cites Open- vocabulary semantic segmentation with mask-adapted clip,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Open- vocabulary semantic segmentation with mask-adapted clip,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:25.223642Z

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Observation 802aabb1-d01a-41f7-a596-25c07083bbc2 · outbound

This paper cites Hierarchical multi-view graph pooling with structure learning,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Hierarchical multi-view graph pooling with structure learning,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:25.039240Z

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Observation b31fbd4c-aba0-4ac0-a49d-d1d1e52cf8bd · outbound

This paper cites A comprehensive survey on graph neural net- works,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios A comprehensive survey on graph neural net- works,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:24.828888Z

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Observation 625ab7d5-b4ce-4ec8-9da2-64098fd98413 · outbound

This paper cites Scaling language-image pre-training via masking,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Scaling language-image pre-training via masking,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:24.615287Z

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Observation 352b9a6d-e6f3-4d08-a2d8-51c56f8f0756 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Representation Learning with Contrastive Predictive Coding

Reference 60

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Observation dcc4d458-abc2-4f27-a6cd-f89841ae579b · outbound

This paper cites Are loss functions all the same?.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Are loss functions all the same?

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:24.351957Z

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Observation afa1759f-cf68-4bc7-868e-d2b78cea1f6d · outbound

This paper cites Class- incremental exemplar compression for class- incremental learning,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Class- incremental exemplar compression for class- incremental learning,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:24.083675Z

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Observation d29ec24e-5116-4a74-b741-590f0d70bb49 · outbound

This paper cites Mnemonics training: Multi-class incremental learn- ing without forgetting,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Mnemonics training: Multi-class incremental learn- ing without forgetting,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:23.741397Z

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Observation e7233b31-efc5-4d26-8b12-48fb2f34d3bc · outbound

This paper cites Gradient episodic memory for continual learning,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Gradient episodic memory for continual learning,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:23.423153Z

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Observation 860db11a-3a67-4788-abf7-9f6b13fc848b · outbound

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

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:23.154568Z

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Observation e801bc16-f1b6-4061-9013-ce9eed861e0c · outbound

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

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Octformer: Octree-based transformers for 3d point clouds,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:22.924173Z

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Observation 21ba60ac-9a6d-4413-884a-2989896904f3 · outbound

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

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Spherical transformer for lidar-based 3d recognition,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:22.710184Z

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Observation a434776c-1dba-49c1-bbc4-8afdcf5c65e5 · outbound

This paper cites Sonata: Self-supervised learning of reliable point representations,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Sonata: Self-supervised learning of reliable point representations,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:22.540764Z

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Observation c201900b-cefe-4573-8d4a-f4fc944c0f23 · outbound

This paper cites Pointcept: A codebase for point cloud perception research,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Pointcept: A codebase for point cloud perception research,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:22.182734Z

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Observation 5700133b-2c02-432e-bcf4-cf227e74c61a · outbound

This paper cites Decoupled Weight Decay Regularization.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Decoupled Weight Decay Regularization

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T21:06:18.388350Z

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Observation 4e3b0137-bbaf-4145-876a-1943f0cea8ab · outbound

This paper cites Campus3d: A photogrammetry point cloud benchmark for hierarchical understanding of outdoor scene,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Campus3d: A photogrammetry point cloud benchmark for hierarchical understanding of outdoor scene,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:21.989909Z

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Observation 294fc9b3-558f-412d-900d-a94ef7a57d98 · outbound

This paper cites Sum: A benchmark dataset of semantic urban meshes,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Sum: A benchmark dataset of semantic urban meshes,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:21.717576Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 571800ea-aada-45ca-b653-534341bb897d · outbound

This paper cites Eclair: A high-fidelity aerial lidar dataset for semantic segmentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Eclair: A high-fidelity aerial lidar dataset for semantic segmentation,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:21.550755Z

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Observation 25489674-7de8-44fa-a5bf-7af15f0cc6f6 · outbound

This paper cites A large-scale point cloud semantic segmentation net- work via local dual features and global correlations,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios A large-scale point cloud semantic segmentation net- work via local dual features and global correlations,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:21.403121Z

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Observation 3f161445-ab98-4d71-bd12-29896b8d7f38 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T21:06:18.891554Z

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Observation 37f6be3a-8c41-4649-95e1-9511fbd3c8cb · outbound

This paper cites Tangent convolutions for dense prediction in 3d,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Tangent convolutions for dense prediction in 3d,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:21.266328Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 429e00b2-0f6e-4a37-b82a-dcbfb288e357 · outbound

This paper cites Large-scale point cloud semantic segmentation with superpoint graphs,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Large-scale point cloud semantic segmentation with superpoint graphs,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:21.078506Z

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Observation 7683af91-c62a-4e8c-a530-f7f19d0117fa · outbound

This paper cites Lcpformer: To- wards effective 3d point cloud analysis via local con- text propagation in transformers,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Lcpformer: To- wards effective 3d point cloud analysis via local con- text propagation in transformers,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:20.847124Z

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Observation e7135665-1d0a-445e-b3cf-a12b50861430 · outbound

This paper cites MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:06:19.788152Z

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Observation 3f4bb464-ecd2-4914-adc6-4b4ae5669fd0 · outbound

This paper cites Point and voxel cross perception with lightweight cosformer for large-scale point cloud semantic seg- mentation,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Point and voxel cross perception with lightweight cosformer for large-scale point cloud semantic seg- mentation,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:20.543204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5cf959e7-135b-49fb-91cd-cda2f9b432f5 · outbound

This paper cites Semantic seg- mentation of large-scale point cloud scenes via dual neighborhood feature and global spatial-aware,.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios Semantic seg- mentation of large-scale point cloud scenes via dual neighborhood feature and global spatial-aware,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:06:20.219933Z

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