3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation | Paper Citation Record

Observation 7a987b26-8499-4666-af90-7850b13e5dc4 · outbound

This paper cites Domain adaptive lidar point cloud segmentation with 3d spatial consistency,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Domain adaptive lidar point cloud segmentation with 3d spatial consistency,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:27.070298Z

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Observation d499a49b-a01f-4bb9-886c-0deeacf801f1 · outbound

This paper cites Region-enhanced feature learning for scene semantic segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Region-enhanced feature learning for scene semantic segmentation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:27.059523Z

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Observation 87bae1c0-812e-4838-97c4-f692e967afb2 · outbound

This paper cites Lif-seg: Lidar and camera image fusion for 3d lidar semantic segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Lif-seg: Lidar and camera image fusion for 3d lidar semantic segmentation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:27.048544Z

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Observation b13b7c22-8bf0-4d58-abb6-160fd859ba2a · outbound

This paper cites Adaptive margin contrastive learning for ambiguity-aware 3d semantic segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Adaptive margin contrastive learning for ambiguity-aware 3d semantic segmentation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:27.037655Z

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Observation 517a53a3-fc56-4ca5-b316-46807c36fc8a · outbound

This paper cites Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.210750Z

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Observation 46ef22ad-bfb7-4f35-b44b-23778eecce1d · outbound

This paper cites Efficient 3d semantic segmentation with superpoint transformer,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Efficient 3d semantic segmentation with superpoint transformer,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:27.026119Z

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Observation 4fd0e73c-4855-4a2f-a316-4b8fac41fa0f · outbound

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

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Large-scale point cloud semantic seg- mentation with superpoint graphs,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:27.014875Z

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Observation 6ae38225-e6fd-408a-9d62-848fc11a2342 · outbound

This paper cites Toward better boundary preserved supervoxel segmentation for 3d point clouds,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Toward better boundary preserved supervoxel segmentation for 3d point clouds,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:27.004501Z

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Observation e91528bb-4219-4830-89c2-e179720bf1a9 · outbound

This paper cites IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:32:26.528206Z

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Observation 4dee1622-d5cf-41e2-bddb-97bef73fec1f · outbound

This paper cites RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:32:26.513001Z

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Observation f429324d-37c1-4255-8d44-11ba87365caf · outbound

This paper cites 3d-gres: Generalized 3d referring expression segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation 3d-gres: Generalized 3d referring expression segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.993490Z

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Observation 4b4dfd4b-91b3-478b-9399-fb27ca22dcdb · outbound

This paper cites Refmask3d: Language-guided transformer for 3d referring segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Refmask3d: Language-guided transformer for 3d referring segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.983565Z

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

Observation 8e34238a-b5b8-4cf3-87aa-d510be40a93f · outbound

This paper cites Segpoint: Segment any point cloud via large language model,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Segpoint: Segment any point cloud via large language model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.973410Z

Source-reported events for the cited work

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Observation f9da278d-09b3-40c2-a72f-a09ddfe5d1d7 · outbound

This paper cites 3d-stmn: Dependency-driven superpoint-text matching network for end-to-end 3d referring expression segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation 3d-stmn: Dependency-driven superpoint-text matching network for end-to-end 3d referring expression segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.962733Z

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 df7943d9-cd90-46d7-a50c-5df5f04f7002 · outbound

This paper cites Text-guided graph neural networks for referring 3d instance segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Text-guided graph neural networks for referring 3d instance segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.951582Z

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Observation 079812dc-0070-421c-ad91-9d2183dff509 · outbound

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

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Scannet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.249124Z

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Observation d2f49eb1-d522-4485-9b16-c0d0273cb340 · outbound

This paper cites Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.933717Z

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Observation e4940e73-38e9-4412-9099-11428e79feb9 · outbound

This paper cites Microsoft coco: Common objects in context,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Microsoft coco: Common objects in context,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.922785Z

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Observation 4eddd14f-3ec5-41bf-8d81-9f422632c851 · outbound

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

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Imagenet: A large-scale hierarchical image database,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.258652Z

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Observation 41090e6a-37b7-4cc9-ac3e-af4f97b8f0d3 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation The cityscapes dataset for semantic urban scene understanding,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.261896Z

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Observation 43047fd1-1670-420c-954b-ec1a30098894 · outbound

This paper cites Scanrefer: 3d object localization in rgb-d scans using natural language,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Scanrefer: 3d object localization in rgb-d scans using natural language,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.899143Z

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Observation 8dbe6beb-dc4e-4367-bd56-befbe37c6ebc · outbound

This paper cites Learning with pseudo- ensembles,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Learning with pseudo- ensembles,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.888134Z

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Observation 779565b0-a263-4133-9bc3-f12c5689c20e · outbound

This paper cites ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.271803Z

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Observation fd0b864d-f1e8-4ab8-b841-462c513d6cb6 · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Mixmatch: A holistic approach to semi-supervised learning,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.275200Z

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Observation f61fb15d-3a74-47c0-b64a-67b9d7e6e3f0 · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and confidence,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Fixmatch: Simplifying semi-supervised learning with consistency and confidence,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.869740Z

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Observation 312fa1ac-6176-4047-9f43-8318b0cf5cc8 · outbound

This paper cites Sspc-net: Semi-supervised semantic 3d point cloud segmentation network,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Sspc-net: Semi-supervised semantic 3d point cloud segmentation network,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.857234Z

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

Observation 073968e5-0dd8-4d3b-84f0-e7b781f68f19 · outbound

This paper cites Sess: Self-ensembling semi- supervised 3d object detection,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Sess: Self-ensembling semi- supervised 3d object detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.846829Z

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Observation 4139387b-df8a-4c72-8f2f-a05dbd7e993a · outbound

This paper cites Active teacher for semi-supervised object detection,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Active teacher for semi-supervised object detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.836465Z

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Observation b156efd2-bdc4-4c5e-959c-6cdbad3bea54 · outbound

This paper cites Beyond the label itself: Latent labels enhance semi-supervised point cloud panoptic segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Beyond the label itself: Latent labels enhance semi-supervised point cloud panoptic segmentation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.826153Z

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Observation 7fde7a66-be5b-428b-af08-a79c8d07b863 · outbound

This paper cites Lasermix for semi-supervised lidar semantic segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Lasermix for semi-supervised lidar semantic segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.815078Z

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 5b63a927-df36-458e-a84f-e5f66662b2c4 · outbound

This paper cites Hierarchical point-based active learning for semi-supervised point cloud semantic segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Hierarchical point-based active learning for semi-supervised point cloud semantic segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.803294Z

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 1435c955-4f52-4cd0-b170-fdc79b62d136 · outbound

This paper cites Guided point contrastive learning for semi-supervised point cloud semantic seg- mentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Guided point contrastive learning for semi-supervised point cloud semantic seg- mentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.792656Z

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 9fac6bf0-567d-46f2-a57d-9e81c02de892 · outbound

This paper cites Sdcl: Students discrepancy-informed correction learning for semi-supervised medical image segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Sdcl: Students discrepancy-informed correction learning for semi-supervised medical image segmentation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.781328Z

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Observation 2f8704ea-bf3a-4362-9785-91c7ec1902fa · outbound

This paper cites Data-uncertainty guided multi-phase learning for semi-supervised object detection,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Data-uncertainty guided multi-phase learning for semi-supervised object detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.769266Z

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 22090617-8f1c-4678-91f9-e6f843a01948 · outbound

This paper cites Consistency-based active learning for object detection,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Consistency-based active learning for object detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.758145Z

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

Observation 34e5af3c-3d9f-40e6-8cf2-ccc77e3ebaab · outbound

This paper cites Multiple instance active learning for object detection,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Multiple instance active learning for object detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.746767Z

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 32de10a1-8913-4495-91b0-e8e5d3c9d23a · outbound

This paper cites AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:32:26.487344Z

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 58d3039c-03bc-494a-aca5-bce9aa4d8d7f · outbound

This paper cites Dense object grounding in 3d scenes,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Dense object grounding in 3d scenes,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.736090Z

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 4312c962-b62b-4cd7-a9f9-fc764e64006e · outbound

This paper cites 3d-sps: Single-stage 3d visual grounding via referred point progressive selection,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation 3d-sps: Single-stage 3d visual grounding via referred point progressive selection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.725672Z

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 de0d1f27-4f88-445a-b0f2-7a6d3244c4fe · outbound

This paper cites Multi3drefer: Grounding text description to multiple 3d objects,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Multi3drefer: Grounding text description to multiple 3d objects,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.713049Z

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 ec2feaf5-0daa-4e81-b23c-c2bf67be6455 · outbound

This paper cites Language conditioned spatial relation reasoning for 3d object grounding,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Language conditioned spatial relation reasoning for 3d object grounding,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.701349Z

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 7366ae71-79b9-4cd2-8ab1-dcaf91c12827 · outbound

This paper cites Aware visual grounding in 3d scenes,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Aware visual grounding in 3d scenes,

Reference 42

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Source-reported events for the cited work

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Observation 35df36be-3430-49c7-8235-a650c2bd233c · outbound

This paper cites X-refseg3d: Enhancing referring 3d instance segmentation via structured cross-modal graph neural networks,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation X-refseg3d: Enhancing referring 3d instance segmentation via structured cross-modal graph neural networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.681690Z

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 a1b77bf2-fd3f-4238-8b3f-da55c15748aa · outbound

This paper cites Pseudo-ris: Distinctive pseudo-supervision generation for referring image segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Pseudo-ris: Distinctive pseudo-supervision generation for referring image segmentation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.668968Z

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 3cdf8809-b751-495b-836d-9e1bf3913149 · outbound

This paper cites SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.344729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f1c5718-02d8-456a-9a8f-5ab07c1345fd · outbound

This paper cites Refteacher: A strong baseline for semi-supervised referring expression comprehension,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Refteacher: A strong baseline for semi-supervised referring expression comprehension,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.655375Z

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 dbd29f08-30c9-4918-bb98-fd3dc98eed38 · outbound

This paper cites Generating Visual Spatial Description via Holistic 3D Scene Understanding.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Generating Visual Spatial Description via Holistic 3D Scene Understanding

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:32:26.463368Z

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 137a1f7d-fa72-40c6-afbd-8025e7cdb4e6 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.355012Z

Source-reported events for the cited work

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Observation dabcfcf1-30da-4086-851f-eefcc338f80b · outbound

This paper cites Superpoint transformer for 3d scene instance segmentation,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Superpoint transformer for 3d scene instance segmentation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.636066Z

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 1e38dc45-b46e-4fc1-b3e2-d1bab3b99467 · outbound

This paper cites Unsupervised data augmentation for consistency training,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Unsupervised data augmentation for consistency training,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.361586Z

Source-reported events for the cited work

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Observation e56d988f-8b3c-403b-83f6-eb167a9b8a69 · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learn- ing results,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learn- ing results,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.614746Z

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

Observation e2a65550-c0ad-4e96-a844-2a39b866d032 · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Adaptive subgradient methods for online learning and stochastic optimization

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.599560Z

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 828ddd64-6cde-4f6e-8d80-8d640dce5168 · outbound

This paper cites Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.371936Z

Source-reported events for the cited work

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Observation 74047c55-2786-4d24-80fc-68d0ec00be40 · outbound

This paper cites Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:26.375734Z

Source-reported events for the cited work

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Observation 3cf2327c-4d07-471c-ae6a-39c571dadd56 · outbound

This paper cites Virtual reality for health care: a survey,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Virtual reality for health care: a survey,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.586012Z

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 e9600519-866c-4f94-b75e-1375f368ce24 · outbound

This paper cites Social virtual reality: ethical considerations and future directions for an emerging research space,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation Social virtual reality: ethical considerations and future directions for an emerging research space,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.572553Z

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 3eedc8f0-51e0-4ae3-95a8-501559c5463f · outbound

This paper cites A review on human–ai interaction in machine learning and insights for medical applications,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation A review on human–ai interaction in machine learning and insights for medical applications,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.561353Z

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 87a194cb-d67c-49a6-9788-04a492994d9d · outbound

This paper cites A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques,.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:32:26.550051Z

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 c5c5c5f9-4eeb-4cda-bf02-6cf2006a3134 · outbound

This paper cites ACTRESS: Active Retraining for Semi-supervised Visual Grounding.

3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation ACTRESS: Active Retraining for Semi-supervised Visual Grounding

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:32:26.428530Z

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.

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