High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation | Paper Citation Record

Observation ee309e64-26c8-4f5d-a67d-c2e6691ac9a5 · outbound

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

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Kpconv: Flexible and deformable convolution for point clouds,

Reference 1

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Observation 1cba00b5-2f80-4c87-827c-a1a6eb6eb9eb · outbound

This paper cites Learning semantic segmentation of large-scale point clouds with random sampling,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Learning semantic segmentation of large-scale point clouds with random sampling,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:56.904829Z

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Observation 70d08b3c-2f3d-42a0-9e8a-1aa26ab26763 · outbound

This paper cites Cylindrical and asymmetrical 3D convolution net- works for lidar-based perception,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Cylindrical and asymmetrical 3D convolution net- works for lidar-based perception,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:56.755175Z

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Observation 543405e6-47fd-490c-8831-e3fcf12d1f75 · outbound

This paper cites Point trans- former,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Point trans- former,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:42.412085Z

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Observation 11d14944-00c8-49e2-997e-008b8c0644e8 · outbound

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

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Point transformer v2: Grouped vector attention and partition-based pooling,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:56.573244Z

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Observation 6da20b1a-5593-4be3-99bc-2e8a8e3a0581 · outbound

This paper cites OctFormer: Octree-based Transformers for 3D Point Clouds.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation OctFormer: Octree-based Transformers for 3D Point Clouds

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:42.571652Z

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Observation 4d61de3f-66d9-46bc-b02f-924060cab483 · outbound

This paper cites Condaformer: Disassembled transformer with local structure en- hancement for 3D point cloud understanding,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Condaformer: Disassembled transformer with local structure en- hancement for 3D point cloud understanding,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:56.406386Z

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Observation 92fa138a-3662-48e7-a67c-93df600f68b8 · outbound

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

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Pointnet: Deep learning on point sets for 3D classification and segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:56.251919Z

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Observation 87573b4b-1964-4a6f-bf66-fd8fdbcdc38f · outbound

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

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:42.774721Z

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Observation c0966d99-bcd2-4893-825d-6d0b4715a200 · outbound

This paper cites Weakly supervised semantic point cloud segmentation: Towards 10x fewer labels,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Weakly supervised semantic point cloud segmentation: Towards 10x fewer labels,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:56.039003Z

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Observation 1eae6645-d169-4e97-b963-ab4e1b9d608f · outbound

This paper cites Sqn: Weakly-supervised semantic segmentation of large-scale 3D point clouds,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Sqn: Weakly-supervised semantic segmentation of large-scale 3D point clouds,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:55.870055Z

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Observation aab90d71-ce71-44ab-a994-bc630f3d3680 · outbound

This paper cites One thing one click: A self-training approach for weakly supervised 3D semantic segmentation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation One thing one click: A self-training approach for weakly supervised 3D semantic segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:55.679017Z

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Observation 8cc8f404-8c78-4556-9665-6a976fb527fc · outbound

This paper cites Perturbed self- distillation: Weakly supervised large-scale point cloud semantic segmentation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Perturbed self- distillation: Weakly supervised large-scale point cloud semantic segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:55.461401Z

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Observation db4fce5b-4b5a-4963-98cb-48f78dda6552 · outbound

This paper cites An mil-derived transformer for weakly supervised point cloud segmentation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation An mil-derived transformer for weakly supervised point cloud segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:55.238111Z

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Observation c1aa560c-cdc7-4a7e-aef7-e36d79e12b76 · outbound

This paper cites Cpcm: Contextual point cloud modeling for weakly- supervised point cloud semantic segmentation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Cpcm: Contextual point cloud modeling for weakly- supervised point cloud semantic segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:54.960633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a4f961b9-2739-4d30-b582-da590f1d87bc · outbound

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

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation All points matter: Entropy-regularized distribution alignment for weakly- supervised 3D segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:54.720844Z

Source-reported events for the cited work

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Observation 5e3132ea-ee88-4c26-9ae5-cd9e766e5c30 · outbound

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

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Scannet: Richly-annotated 3D reconstructions of indoor scenes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:54.564979Z

Source-reported events for the cited work

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Observation 404fd53f-2ced-4ccb-8500-d97ccb5ca486 · outbound

This paper cites Multi-path region mining for weakly supervised 3D semantic segmentation on point clouds,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Multi-path region mining for weakly supervised 3D semantic segmentation on point clouds,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:54.421250Z

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Observation 397db388-06c7-4141-b552-fa51736918c9 · outbound

This paper cites Learning deep features for discriminative localization,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Learning deep features for discriminative localization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:54.254093Z

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Observation 29d91779-eeb6-4da4-97cb-cce179f63575 · outbound

This paper cites 3D spatial recognition without spatially labeled 3D,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation 3D spatial recognition without spatially labeled 3D,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:54.044315Z

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Observation 0c8e69c6-b47d-4f60-833e-b820596fd869 · outbound

This paper cites Joint learning of 2D-3D weakly super- vised semantic segmentation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Joint learning of 2D-3D weakly super- vised semantic segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:53.901470Z

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Observation b02099a3-4fa7-421e-a5e2-f2791715e061 · outbound

This paper cites 2D-3D interlaced transformer for point cloud segmentation with scene- level supervision,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation 2D-3D interlaced transformer for point cloud segmentation with scene- level supervision,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:53.747794Z

Source-reported events for the cited work

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Observation 9365f00c-4f1c-4993-a224-ee7ade3dd51a · outbound

This paper cites Dimensionality reduction by learning an invariant mapping,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Dimensionality reduction by learning an invariant mapping,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:53.593041Z

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Observation 19cf6ed2-f28a-4924-b23c-fe025bd62eb9 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Representation Learning with Contrastive Predictive Coding

Reference 24

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Observation e00b1d06-6676-48df-9b30-2ba838ff5fe8 · outbound

This paper cites Creating large-scale city models from 3D-point clouds: a robust approach with hybrid representation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Creating large-scale city models from 3D-point clouds: a robust approach with hybrid representation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:53.448554Z

Source-reported events for the cited work

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Observation e46b4be6-376b-4d6b-b3d8-39924c4261be · outbound

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

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation 3D semantic parsing of large-scale indoor spaces,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:53.279723Z

Source-reported events for the cited work

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Observation 88971f69-541e-42e2-a9c2-760a497ae9c7 · outbound

This paper cites Weakly supervised semantic segmentation for large-scale point cloud,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Weakly supervised semantic segmentation for large-scale point cloud,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:53.142100Z

Source-reported events for the cited work

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Observation 78d7ba31-a154-4cc5-9aef-561050833016 · outbound

This paper cites Hy- bridcr: Weakly-supervised 3D point cloud semantic segmentation via hybrid contrastive regularization,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Hy- bridcr: Weakly-supervised 3D point cloud semantic segmentation via hybrid contrastive regularization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:53.003635Z

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Observation 84451605-dff0-461e-8761-ce8285004a07 · outbound

This paper cites Dual adaptive transfor- mations for weakly supervised point cloud segmentation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Dual adaptive transfor- mations for weakly supervised point cloud segmentation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:52.813213Z

Source-reported events for the cited work

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Observation 45cc54b3-0ed4-4637-b948-50b08e3c26d5 · outbound

This paper cites Weakly Supervised Point Cloud Segmentation via Conservative Propagation of Scene-level Labels.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Weakly Supervised Point Cloud Segmentation via Conservative Propagation of Scene-level Labels

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:52:47.690859Z

Source-reported events for the cited work

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Observation d2abecc9-60d3-483d-a30b-582e1c86b603 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Distilling the Knowledge in a Neural Network

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:44.744882Z

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Observation 045af912-07aa-4622-ad5f-2b3e8ba93426 · outbound

This paper cites Cross- modal learning for domain adaptation in 3D semantic segmen- tation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Cross- modal learning for domain adaptation in 3D semantic segmen- tation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:52.595428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7c8e8a51-a54d-451a-97e2-839b8e6b3ea5 · outbound

This paper cites Cross modal distillation for supervision transfer,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Cross modal distillation for supervision transfer,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:52.406323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e44a0215-7d7c-44d4-8666-27562dc9f5cb · outbound

This paper cites Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:45.058273Z

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Observation dc611ad4-d844-4dd7-b711-cedb69317d95 · outbound

This paper cites Image-to-lidar self-supervised distillation for autonomous driv- ing data,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Image-to-lidar self-supervised distillation for autonomous driv- ing data,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:52.192195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e11a13ff-2e9a-4296-a1aa-ec13d91b20b5 · outbound

This paper cites 2Dpass: 2D priors assisted semantic segmentation on lidar point clouds,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation 2Dpass: 2D priors assisted semantic segmentation on lidar point clouds,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:51.919064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d504992d-cf38-43ea-9ad2-877ef698fab8 · outbound

This paper cites Camliflow: bidirectional camera-lidar fusion for joint optical flow and scene flow estimation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Camliflow: bidirectional camera-lidar fusion for joint optical flow and scene flow estimation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:51.592011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 124c30fe-3cc4-4989-9de8-e8b13ad14c57 · outbound

This paper cites Bridged transformer for vision and point cloud 3D object detec- tion,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Bridged transformer for vision and point cloud 3D object detec- tion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:51.305305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74b8cdff-5a1e-4050-bad3-6d4573ac52f3 · outbound

This paper cites Bidirectional projection network for cross dimension scene understanding,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Bidirectional projection network for cross dimension scene understanding,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:51.032609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c932bcb-988d-4631-b24e-7074de25f17e · outbound

This paper cites Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:50.753742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4fdbf37-d7bd-4649-aa8c-fce3c3c83c5b · outbound

This paper cites Mix3d: Out-of-context data augmentation for 3D scenes,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Mix3d: Out-of-context data augmentation for 3D scenes,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:50.476721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bdfc0503-dba9-4178-8f61-a44daccc58c6 · outbound

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

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:50.295828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aacdc62d-9438-4771-b812-fb126ea9d798 · outbound

This paper cites Deep residual learning for image recognition,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Deep residual learning for image recognition,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:50.074735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b788f741-cb51-4a88-8ac9-90e4a6b1e967 · outbound

This paper cites Im- agenet: A large-scale hierarchical image database,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Im- agenet: A large-scale hierarchical image database,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:49.949563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fc7d62d-7db8-4168-86bc-0528f87fecf2 · outbound

This paper cites Voxel cloud connectivity segmentation-supervoxels for point clouds,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Voxel cloud connectivity segmentation-supervoxels for point clouds,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:49.799982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7119d9a1-d867-4ccc-ae94-21604795567e · outbound

This paper cites Seeded region growing,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Seeded region growing,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:49.681637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e986898a-0d84-47e2-8779-8141706de28f · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Momentum contrast for unsupervised visual representation learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:49.539014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4cd9812-7cff-4f1f-8901-cf87b1cf87e0 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Emerging properties in self-supervised vision transformers,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:49.424412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a4bc0fa6-7303-4bdb-be8b-572d254a2742 · outbound

This paper cites nuscenes: A mul- timodal dataset for autonomous driving,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation nuscenes: A mul- timodal dataset for autonomous driving,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:49.312524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ee729f2a-2ff1-4d12-aa7b-b03c16141ba2 · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Semantickitti: A dataset for semantic scene understanding of lidar sequences,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:49.199877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 817335fd-b50f-44a9-b69f-a484338da01b · outbound

This paper cites 3D weakly supervised semantic segmentation with 2D vision-language guidance,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation 3D weakly supervised semantic segmentation with 2D vision-language guidance,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:49.028978Z

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Observation 6629c7c0-fe0c-4e64-b6bf-c7bc4321bca6 · outbound

This paper cites Scaling open-vocabulary image segmentation with image-level labels,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Scaling open-vocabulary image segmentation with image-level labels,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:48.927778Z

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Observation a3f9b203-b1cf-47bf-89c5-89e848f3ee35 · outbound

This paper cites Language-driven semantic segmentation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Language-driven semantic segmentation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:48.806104Z

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Observation f185dc08-73ef-4ba5-adef-d939e81d3edf · outbound

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

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Openscene: 3D scene understanding with open vocabularies,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:48.695866Z

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Observation a9343c3b-9b88-439a-bccd-ec22c2e058cd · outbound

This paper cites Open vocabulary 3D scene understanding via geometry guided self- distillation,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Open vocabulary 3D scene understanding via geometry guided self- distillation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:48.495506Z

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Observation 9602deb5-befb-4cfd-9ec7-399f1d53b60e · outbound

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

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Open-vocabulary 3D semantic segmentation with foundation models,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:48.339949Z

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Observation f07f53bc-d50f-4c78-91a3-05326b652708 · outbound

This paper cites Segment anything,.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Segment anything,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:48.196797Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14efb435-9680-4ca9-9851-54904a9b66f0 · outbound

This paper cites For instance, ‘drivable surface’, ‘manmade’, and ‘veg- etation’ constitute over 70% of all points, while rare classes like ‘bicycle’ or ‘motorcycle’ represent less than 0.1%.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation For instance, ‘drivable surface’, ‘manmade’, and ‘veg- etation’ constitute over 70% of all points, while rare classes like ‘bicycle’ or ‘motorcycle’ represent less than 0.1%

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:48.021637Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cacb44f2-80f9-469c-bb2b-4250ade1ee39 · outbound

This paper cites Baseline.

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation Baseline

Reference 59

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T21:52:47.867592Z

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