SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation | Paper Citation Record

Observation 77f4029d-544f-43fa-a743-e88dcfa03d01 · outbound

This paper cites Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.790709Z

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Observation 427f2a2e-57a2-45e8-8c50-89f7c636b828 · outbound

This paper cites Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.779383Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2b5ec1e-4eb6-45b7-ba5a-fefa3054ee9a · outbound

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

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.767892Z

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Observation 490c0d18-7f64-4fbe-b634-7bb6ca73409b · outbound

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

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Kpconv: Flexible and deformable convolution for point clouds,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.756711Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f3efd5d-6ebb-4e3f-bf80-c8bc168f71da · outbound

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

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.746358Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1435032c-3fab-4c37-891e-fb92c50fef84 · outbound

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

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation nuscenes: A multimodal dataset for autonomous driving,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.734971Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bac22825-2af5-459c-bf40-ea4002aa0673 · outbound

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

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.724561Z

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Observation a6f2de32-76d2-493b-b1f3-30b64920dbc1 · outbound

This paper cites Splatnet: Sparse lattice networks for point cloud processing,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Splatnet: Sparse lattice networks for point cloud processing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.713030Z

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Observation 823a74e7-0a07-4e12-82fa-1b4cf7c5368e · outbound

This paper cites Sensor fusion for joint 3d object detection and semantic segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Sensor fusion for joint 3d object detection and semantic segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.701196Z

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Observation 37157edf-ed75-49c0-86a5-0bd63a4c0790 · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adaptation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Cycada: Cycle-consistent adversarial domain adaptation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.690053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2591130-cb6a-4d16-b3dd-219a26fbf634 · outbound

This paper cites Bidirectional learning for domain adaptation of semantic segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Bidirectional learning for domain adaptation of semantic segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.678685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e980423-65d3-4ea3-a7b1-8c01723df6d0 · outbound

This paper cites Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.668059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52a0d5c9-59f3-44bb-8c11-f8f59bc2fa56 · outbound

This paper cites Squeezesegv2: Im- proved model structure and unsupervised domain adaptation for road- object segmentation from a lidar point cloud,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Squeezesegv2: Im- proved model structure and unsupervised domain adaptation for road- object segmentation from a lidar point cloud,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.656821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e46cfe56-f9a3-4a43-a782-5743b75ec9d6 · outbound

This paper cites Complete & label: A domain adaptation approach to semantic segmentation of lidar point clouds,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Complete & label: A domain adaptation approach to semantic segmentation of lidar point clouds,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.645280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e641e729-0412-4709-b442-f1734ccab8d5 · outbound

This paper cites xmuda: Cross-modal unsupervised domain adaptation for 3d semantic seg- mentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation xmuda: Cross-modal unsupervised domain adaptation for 3d semantic seg- mentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.634547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ec8990c-59dc-47fb-b396-d4756022c3a0 · outbound

This paper cites Mopa: Multi- modal prior aided domain adaptation for 3d semantic segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Mopa: Multi- modal prior aided domain adaptation for 3d semantic segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.623186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2aee9e84-596a-43f6-9d28-2b423c3c6ed9 · outbound

This paper cites Mm-tta: multi-modal test-time adaptation for 3d semantic segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Mm-tta: multi-modal test-time adaptation for 3d semantic segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.610916Z

Source-reported events for the cited work

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Observation 9a8a508b-9805-45d4-9c42-7410ce914f50 · outbound

This paper cites Summit: Source-free adaptation of uni-modal models to multi-modal targets,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Summit: Source-free adaptation of uni-modal models to multi-modal targets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.600476Z

Source-reported events for the cited work

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Observation 625bb12d-0f8d-4ca4-ae6d-e24c3227e736 · outbound

This paper cites Segment anything,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment anything,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.589584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b7501c1-ddd4-4a29-a552-d055634b496f · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation SAM 2: Segment Anything in Images and Videos

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T17:11:06.796186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45410822-686b-41e4-a3d4-3fb38739c34e · outbound

This paper cites Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-09T17:11:07.342026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b38433d-d273-48b5-82ec-cbb7e1af823b · outbound

This paper cites Segment anything in medical images,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment anything in medical images,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.579138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a086595-a5bf-4897-93b0-ffe708cedb18 · outbound

This paper cites Segment anything model for medical images?.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment anything model for medical images?

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.567836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ab04993-ecfa-46b3-871f-af0ef73acea1 · outbound

This paper cites Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T17:11:06.811250Z

Source-reported events for the cited work

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Observation eade4979-fc07-455a-9de5-2597ebdb5765 · outbound

This paper cites Learning to Adapt SAM for Segmenting Cross-domain Point Clouds.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Learning to Adapt SAM for Segmenting Cross-domain Point Clouds

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T17:11:06.815200Z

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Observation e091df42-cd01-46d8-9868-6d3cca3b7705 · outbound

This paper cites Segment any point cloud sequences by distilling vision foun- dation models,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment any point cloud sequences by distilling vision foun- dation models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.557247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1688c03f-87cf-444b-b639-2eb92517913f · outbound

This paper cites Geometric calibration for lidar-camera system fusing 3d-2d and 3d-3d point correspondences,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Geometric calibration for lidar-camera system fusing 3d-2d and 3d-3d point correspondences,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.546458Z

Source-reported events for the cited work

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Observation 1527bc6f-20c6-401a-b200-66fd2587a06d · outbound

This paper cites Learning to adapt structured output space for seman- tic segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Learning to adapt structured output space for seman- tic segmentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.535415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e49e4671-f31c-4536-9232-6ea5faee0d82 · outbound

This paper cites Conditional generative adversarial network for structured domain adaptation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Conditional generative adversarial network for structured domain adaptation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.524895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1a8d35c-6c0b-4220-ab63-b785a042802d · outbound

This paper cites Class-balanced pixel-level self-labeling for domain adaptive semantic segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Class-balanced pixel-level self-labeling for domain adaptive semantic segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.513757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 453e4032-f165-4162-957d-cc25807aaaaf · outbound

This paper cites Instance adaptive self- training for unsupervised domain adaptation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Instance adaptive self- training for unsupervised domain adaptation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.502251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef965dfd-f871-4666-8c8e-87a5dc196184 · outbound

This paper cites Unsuper- vised intra-domain adaptation for semantic segmentation through self- supervision,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Unsuper- vised intra-domain adaptation for semantic segmentation through self- supervision,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.491376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 989f1267-82f5-47bc-b470-bf8006d4f476 · outbound

This paper cites Learning pseudo-relations for cross-domain semantic segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Learning pseudo-relations for cross-domain semantic segmentation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.480557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea24a61d-418b-40eb-9fbe-844bc23290c0 · outbound

This paper cites Cosmix: Compositional semantic mix for domain adaptation in 3d lidar segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Cosmix: Compositional semantic mix for domain adaptation in 3d lidar segmentation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.469823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f42def7b-d107-4789-83b4-ebe1bd79c242 · outbound

This paper cites A2D2: Audi Autonomous Driving Dataset.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation A2D2: Audi Autonomous Driving Dataset

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T17:11:06.852005Z

Source-reported events for the cited work

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Observation 5deeb50a-43df-44f0-b649-e13ec65ed81a · outbound

This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.458183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cbc1c69b-cc6e-49ac-b8b5-3244c9eba80d · outbound

This paper cites Efficient deep visual and iner- tial odometry with adaptive visual modality selection,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Efficient deep visual and iner- tial odometry with adaptive visual modality selection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.446783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d66ac57-3b9a-4211-8f94-4fc5d4aff136 · outbound

This paper cites Sparse-to-dense feature matching: Intra and inter domain cross-modal learning in domain adaptation for 3d semantic segmentation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Sparse-to-dense feature matching: Intra and inter domain cross-modal learning in domain adaptation for 3d semantic segmentation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.435342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1bc040e-6d7a-45ac-bd47-667332f68b04 · outbound

This paper cites Cross-modal contrastive learning for domain adaptation in 3d semantic segmenta- tion,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Cross-modal contrastive learning for domain adaptation in 3d semantic segmenta- tion,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.423136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c0d31e11-9909-487e-8cb7-66b09d470b1b · outbound

This paper cites Reliable spatial-temporal voxels for multi-modal test-time adaptation,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Reliable spatial-temporal voxels for multi-modal test-time adaptation,

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-08-09T17:11:07.294139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b8498f9-7bb6-47f0-8508-60214aadeda0 · outbound

This paper cites Weakly-supervised concealed object segmentation with sam- based pseudo labeling and multi-scale feature grouping,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Weakly-supervised concealed object segmentation with sam- based pseudo labeling and multi-scale feature grouping,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.410320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e9145dd-8252-40ba-9515-3725c5f37f2d · outbound

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

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation SAM3D: Segment Anything in 3D Scenes

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T17:11:06.878283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 333520f0-fb28-4812-906e-a1d179a6fdfa · outbound

This paper cites Track Anything: Segment Anything Meets Videos.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Track Anything: Segment Anything Meets Videos

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T17:11:06.882718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca115e4-1bfd-4dd2-9908-fdd7d2fa1fb5 · outbound

This paper cites Segment and Track Anything.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Segment and Track Anything

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T17:11:06.887432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a2d63c-88b2-4c78-84dd-1d1b0d41d31f · outbound

This paper cites Personalize Segment Anything Model with One Shot.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Personalize Segment Anything Model with One Shot

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T17:11:06.891343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 244f9125-a5bf-48c0-bb23-5f9e09aaa6d9 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T17:11:06.894994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deedf2f0-9277-4933-b7e2-529a6931b2eb · outbound

This paper cites A new local distance-based outlier detection approach for scattered real-world data,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation A new local distance-based outlier detection approach for scattered real-world data,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.397969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57871532-23ba-458e-b5f6-0259ff77fb25 · outbound

This paper cites An efficient outlier removal method for scattered point cloud data,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation An efficient outlier removal method for scattered point cloud data,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.386579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a24bff17-cb3f-4070-a64a-b9d742834835 · outbound

This paper cites Deep residual learning for image recognition,.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Deep residual learning for image recognition,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.375165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6dab7e2-e306-47d7-9702-0b81f07321e5 · outbound

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

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation 3d semantic segmentation with submanifold sparse convolutional networks,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:11:07.364172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7780341e-fec2-43f3-a861-552c50970d0f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Adam: A Method for Stochastic Optimization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T17:11:06.912694Z

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