Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation | Paper Citation Record

Observation da33ea02-e1a0-4f17-b17f-f3032b107bc6 · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation,

Reference 1

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:27:14.830086Z

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Observation c6f29f30-5d47-490a-a622-be31ba9477af · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 2

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Observation 97ff15ac-08a9-4a90-a759-fa4ef0a151da · outbound

This paper cites PointCNN: Convolution On X-Transformed Points,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation PointCNN: Convolution On X-Transformed Points,

Reference 3

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Observation 4f7e6226-1abe-4f03-b667-0d64bd694579 · outbound

This paper cites KPConv: Flexible and Deformable Convolution for Point Clouds.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation KPConv: Flexible and Deformable Convolution for Point Clouds

Reference 4

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Observation 666672ba-af33-4b69-9d57-b50170379067 · outbound

This paper cites PointConv: Deep Convolutional Networks on 3D Point Clouds.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 5

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Observation 00a2e2b6-5de8-4a65-8b9d-54a2cf42a3cf · outbound

This paper cites Point Transformer.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Point Transformer

Reference 6

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Observation 0a04a6ba-947d-4c88-9386-10eefa3cec1e · outbound

This paper cites Point Transformer V2: Grouped Vector Attention and Partition-based Pooling.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

Reference 7

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Observation a0fabc9a-06c2-4279-81ef-20bb6fbbc7c3 · outbound

This paper cites 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:27:14.923776Z

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Observation 0ad664c1-2db0-4f08-9387-3264df1010e2 · outbound

This paper cites 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks,

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:27:14.060442Z

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Observation b6305651-294f-4435-8522-b0ddcff8cef5 · outbound

This paper cites SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud,

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:27:13.982154Z

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Observation 5dd99e9a-4b93-41c7-bc92-fa4c2dddf296 · outbound

This paper cites 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T15:27:12.714117Z

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Observation be4e108f-07fa-4fd8-a817-cc6aba9f0f25 · outbound

This paper cites Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:27:14.912454Z

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Observation 21c158d3-c3a5-48ff-99e6-8df58627a78d · outbound

This paper cites One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation,

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:27:13.903519Z

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Observation 4ba973f6-e151-4316-adab-8312a8f585f5 · outbound

This paper cites Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:13.820346Z

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Observation 15dc2086-99e5-443a-974b-cf646530788d · outbound

This paper cites SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:13.800956Z

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Observation a4661759-eae6-48be-959a-e22e9cc725d0 · outbound

This paper cites You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:13.781769Z

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Observation f628e657-bcb5-4e17-b8f9-ddcb9658d8f6 · outbound

This paper cites PointMatch: A consistency training framework for weakly supervised semantic segmentation of 3D point clouds,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation PointMatch: A consistency training framework for weakly supervised semantic segmentation of 3D point clouds,

Reference 17

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Observation ea7b4aa9-5d29-4f80-a494-388761ee5a5a · outbound

This paper cites Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation,

Reference 18

Resolution: verified exact; doi, observed 2026-08-05T15:27:12.925380Z

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Observation 8ae66756-8720-4c83-87b2-6dc2b9f86e17 · outbound

This paper cites Virtual Multi-view Fusion for 3D Semantic Segmentation.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Virtual Multi-view Fusion for 3D Semantic Segmentation

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:13.764608Z

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Observation beb220e2-0cfb-4183-82e3-a1e22ec371e3 · outbound

This paper cites 3D-MiniNet: Learning a 2D Representation From Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation 3D-MiniNet: Learning a 2D Representation From Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation,

Reference 20

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Observation 4de974fb-d21b-4918-9bfd-c008d76e93b4 · outbound

This paper cites Bidirectional Projection Network for Cross Dimension Scene Understanding.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Bidirectional Projection Network for Cross Dimension Scene Understanding

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:13.671344Z

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Observation d4a86050-0524-438c-8b1b-eb2d677549fd · outbound

This paper cites Learning 3D Semantic Segmentation with only 2D Image Supervision,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Learning 3D Semantic Segmentation with only 2D Image Supervision,

Reference 22

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Observation 0efebf3f-cb5a-47e3-8a60-eeafacf487cd · outbound

This paper cites Semantic-SAM: Segment and Recognize Anything at Any Granularity.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 23

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Observation 6d09ebb9-9882-4490-8b87-8b545bbf0003 · outbound

This paper cites Normalized Loss Functions for Deep Learning with Noisy Labels.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Normalized Loss Functions for Deep Learning with Noisy Labels

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:13.558333Z

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Observation 54610092-02b2-48e4-8574-c51646919b9f · outbound

This paper cites Point Transformer V3: Simpler, Faster, Stronger.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Point Transformer V3: Simpler, Faster, Stronger

Reference 25

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Observation b8117cee-0688-4262-907d-a3c98b4f3269 · outbound

This paper cites Active self-training for weakly supervised 3D scene semantic segmentation,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Active self-training for weakly supervised 3D scene semantic segmentation,

Reference 26

Resolution: verified exact; doi, observed 2026-08-05T15:27:12.912780Z

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Observation eddf898f-f172-45a2-bf00-488478fa4af3 · outbound

This paper cites Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T15:27:12.775842Z

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Observation 3ff65c31-bb69-44d0-971f-5cf54cd0068c · outbound

This paper cites Segment Anything.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Segment Anything

Reference 28

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Observation 970196be-1652-4d0f-98a1-50155902578a · outbound

This paper cites Crnet: Cross-reference networks for few-shot segmentation,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Crnet: Cross-reference networks for few-shot segmentation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:27:14.889843Z

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Observation 3efcbb75-5e18-4d04-a746-57e480b4cdf2 · outbound

This paper cites Few-shot segmentation with optimal transport matching and message flow,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Few-shot segmentation with optimal transport matching and message flow,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:27:14.878306Z

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Observation 1d6b8a9e-9d6a-4fcc-a7d2-0ead61c648b3 · outbound

This paper cites Harmonizing base and novel classes: A class-contrastive approach for generalized few-shot segmentation,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Harmonizing base and novel classes: A class-contrastive approach for generalized few-shot segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:27:14.866825Z

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Observation d239c368-65bb-43a2-b7bb-6d2d4435be93 · outbound

This paper cites Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:13.511210Z

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Observation 61d7c10c-c6db-4471-9c65-1197aa8728bc · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Fully convolutional networks for semantic segmentation,

Reference 33

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:27:13.496340Z

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Observation 752563b9-2b27-4358-8a23-6e44fc206103 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 34

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Observation 95f1c934-35c3-4ce1-995f-f8141eccc690 · outbound

This paper cites Conditional Random Fields as Recurrent Neural Networks,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Conditional Random Fields as Recurrent Neural Networks,

Reference 35

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:27:13.417235Z

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Observation da71d754-05cd-4920-bb2a-02b8ae9816b5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 36

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Observation dc8391b2-ea6d-4c0d-a773-90763bf627c0 · outbound

This paper cites SegViT: Semantic Segmentation with Plain Vision Transformers.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation SegViT: Semantic Segmentation with Plain Vision Transformers

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:13.324585Z

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Observation 36cf60b1-6b3e-469b-ae45-fdc14dd03875 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Swin Transformer: Hierarchical Vision Transformer using Shifted Windows,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:27:14.854869Z

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Observation cff5a01e-bed9-43f9-be50-91fa6e05b8ab · outbound

This paper cites SAM3D: Segment Anything in 3D Scenes.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation SAM3D: Segment Anything in 3D Scenes

Reference 39

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Observation b00b7154-2196-4133-9f70-bbf66a604aa9 · outbound

This paper cites Hierarchical Open-vocabulary Universal Image Segmentation.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Hierarchical Open-vocabulary Universal Image Segmentation

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:13.299510Z

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Observation a0f5775c-08c6-4a22-bea6-98a34cb01ccc · outbound

This paper cites Robust Loss Functions under Label Noise for Deep Neural Networks.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Robust Loss Functions under Label Noise for Deep Neural Networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T15:27:12.830564Z

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Observation 4fc986de-25a9-4e7a-93f8-53abf271ab04 · outbound

This paper cites Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Reference 42

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Observation cbccecf7-f507-445a-9e6c-f5a09ba46bb1 · outbound

This paper cites Symmetric Cross Entropy for Robust Learning with Noisy Labels.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Symmetric Cross Entropy for Robust Learning with Noisy Labels

Reference 43

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Observation cad7ba19-3421-432e-9488-2cc4c7898ae5 · outbound

This paper cites Asymmetric Loss Functions for Learning with Noisy Labels.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Asymmetric Loss Functions for Learning with Noisy Labels

Reference 44

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Observation a7d4af79-d61f-4e8d-aa30-bd7c82e56092 · outbound

This paper cites Unsupervised Label Noise Modeling and Loss Correction.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Unsupervised Label Noise Modeling and Loss Correction

Reference 45

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Observation cb7c89fb-fca7-4ee3-91c0-ee0ffd83551e · outbound

This paper cites Learning with Noisy Labels for Robust Point Cloud Segmentation,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Learning with Noisy Labels for Robust Point Cloud Segmentation,

Reference 46

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:27:13.225476Z

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Observation a98e1be9-becd-497b-a050-a9cc9fa03ca0 · outbound

This paper cites Point Cloud Augmentation with Weighted Local Transformations,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Point Cloud Augmentation with Weighted Local Transformations,

Reference 47

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:27:13.148773Z

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Observation 7641294a-6df9-4697-b2a3-eb897404d0d3 · outbound

This paper cites ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes,

Reference 48

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:27:13.072346Z

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Observation 87d91c14-b9df-44fa-a834-b4c0ddd86291 · outbound

This paper cites Joint 2D-3D-Semantic Data for Indoor Scene Understanding.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T15:27:12.863321Z

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Observation ad33e4de-d59e-4a4a-ba78-dfec354abcf0 · outbound

This paper cites 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:12.986462Z

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Observation c7b82c8c-2344-4a70-801b-f8d199b8e552 · outbound

This paper cites PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:12.969737Z

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Observation 6370fee5-6ed6-41fb-bc5f-62cb852c0606 · outbound

This paper cites Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:12.952152Z

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Observation aa7cca8c-c815-4536-b2e5-2d2c50a2a65c · outbound

This paper cites Spconv: Spatially Sparse Convolution Library,.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Spconv: Spatially Sparse Convolution Library,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:27:14.842550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 38703780-470b-4974-8e9a-03cfc13d718f · outbound

This paper cites Available: https://proceedings.neurips.cc/paper files/ paper/2018/hash/f5f8590cd58a54e94377e6ae2eded4d9-Abstract.html.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Available: https://proceedings.neurips.cc/paper files/ paper/2018/hash/f5f8590cd58a54e94377e6ae2eded4d9-Abstract.html

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:27:14.934940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers