Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T12:21:14.253686Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 100 of 124 outbound references and 0 inbound Pith citation observations for arXiv:2608.05482.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T12:21:14.253686Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 124 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7d1b1ff3-6640-474f-8f8b-6c12d7ac4329 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Pointdc: Unsupervised semantic segmentation of 3D point clouds via cross-modal distillation and super-voxel clustering
Reference 1
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Observation bad02066-0d6a-4f7b-9d49-eb04cc21b8f2 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nie ner
Reference 2
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Observation 733fb761-b208-4ce7-9bde-c7e8f945189c · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
Reference 3
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Observation b59f9258-827f-441b-9eb5-43a74e294471 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Deep learning for 3d point clouds: A survey
Reference 4
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Observation a435b445-b029-49db-a329-8ee041ec6261 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Randla-net: Efficient semantic segmentation of large-scale point clouds
Reference 5
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Observation 3222db1c-5ff6-4c58-b3ce-f83c2b2612dc · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 2D gaussian splatting for geometrically accurate radiance fields
Reference 6
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Observation bccc9c90-71bb-4030-ac4f-634f9d40dbcd · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Neo 360: Neural fields for sparse view synthesis of outdoor scenes
Reference 7
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Observation c0baa7c3-5d7a-45a5-9888-38c1ee93effc · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Ultralytics yolo11, 2024
Reference 8
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Observation e3d3e59f-2780-43a5-a969-63ae229c6e37 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick
Reference 10
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Observation 437426b5-a7dd-4f2c-9aec-68c50c94b5e0 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d
Reference 11
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Observation 4822a47f-d5eb-40e8-94a0-e054f68fb610 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Meta architecture for point cloud analysis
Reference 12
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Observation 9bd86f7c-8563-44c6-a176-9343f8c23ce9 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer One thing one click: A self-training approach for weakly supervised 3d semantic segmentation
Reference 13
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Observation 70348846-01e3-4ef3-82df-bb1f1af091b1 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer LUDVIG : Learning-free uplifting of 2D visual features to gaussian splatting scenes
Reference 14
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Observation ce09268d-1309-4911-80c5-cf987b170904 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer DINOv2 : Learning robust visual features without supervision
Reference 15
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Observation a87c26d3-2794-4055-973d-309141416182 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Qi, Li Yi, Hao Su, and Leonidas J
Reference 17
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Observation 666a52fa-90f4-40db-9c3e-f7e4e0cf41ed · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Pointnext: Revisiting pointnet++ with improved training and scaling strategies
Reference 18
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Observation 5285cd12-adba-4a07-80ee-4b7a11cfc3d7 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Langsplat: 3d language gaussian splatting
Reference 19
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Observation 4c515c30-a30f-4e4f-8761-f57c4b746eb4 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Learning transferable visual models from natural language supervision
Reference 20
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Observation f678fe96-ae9b-4618-9d55-d88027694b5a · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer SAM 2 : Segment anything in images and videos
Reference 21
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Observation 3086ea49-c6ec-4f1b-9629-c8d788802ff9 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer FlashSplat : 2D to 3D gaussian splatting segmentation solved optimally
Reference 22
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Observation 6d67f0f1-aa28-4863-a40f-87714cd435f4 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Language embedded 3d gaussians for open-vocabulary scene understanding
Reference 23
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Observation 4b33abee-fbee-4902-9e5d-8478e780180c · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer PointGS : Semantic-consistent unsupervised 3D point cloud segmentation with 3D gaussian splatting
Reference 24
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Observation f97f73e3-f810-48a9-8528-d7d77acad17a · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting
Reference 25
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Observation 467dcffe-312a-4d62-8bfa-07b592603b7e · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Contrastive boundary learning for point cloud segmentation
Reference 26
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Observation 7cb8ee91-6105-44be-94a1-7bb1e372b1d2 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Point transformer v2: Grouped vector attention and partition-based pooling
Reference 27
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Observation 288f1054-00f9-4aea-b3ff-12fe314683d2 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Point transformer v3: Simpler faster stronger
Reference 28
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Observation e32905e8-01af-4800-831e-e113657c81a2 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Pointcontrast: Unsupervised pre-training for 3d point cloud understanding
Reference 29
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Observation 183954b6-ce1b-43da-8575-4ea3c1792a34 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 3d weakly supervised semantic segmentation with 2d vision-language guidance
Reference 30
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Observation a92540c1-fde3-4bde-87b9-ba89e380b82a · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Gaussian G rouping: Segment and edit anything in 3D scenes
Reference 31
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Observation bba0a1ea-76a9-4b9b-ab51-2ed476e69e3b · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Feature 3DGS : Supercharging 3D gaussian splatting to enable distilled feature fields
Reference 32
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Unavailable: canonical work link unavailable.
Observation 2d88ad16-c5aa-464c-bb88-28a8593abc80 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Unresolved cited work
Reference 33
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Observation d9d24348-a11e-4c63-9603-7a0a578e0622 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Unresolved cited work
Reference 34
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Observation 167e0b80-c0e1-4a0d-9cf4-f0265d0cf03f · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Journal of Foo , volume = 13, number = 1, pages =
Reference 35
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Observation 2852ea96-449f-443e-a556-53ceab139c56 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Journal of Foo , volume = 14, number = 1, pages =
Reference 36
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Observation ffac0ec7-75f1-4d53-8c79-513f0b915983 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Unresolved cited work
Reference 37
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Observation 4374bcaf-25a4-450e-95bf-2b53802e92a3 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D , year=
Reference 38
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Observation 09aeff00-7a49-44a2-8baf-f93607595dba · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer OneFormer: One Transformer to Rule Universal Image Segmentation , year=
Reference 39
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Observation 00b6b2d4-73f9-4658-aacb-93f2225ca7fd · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 2024 , url =
Reference 40
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Observation d1f42653-099e-42ae-8721-48aedc272bd3 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Reference 41
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Observation 2c75803d-61fa-4159-bcdc-bf03429ab526 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Reference 42
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Unavailable: canonical work link unavailable.
Observation 1502056f-7c92-49d5-baca-c9b9eea87a1a · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 2023 , eprint=
Reference 43
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Observation dad3b996-b761-4306-a555-4e9b9b0f4e1d · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Deep Learning for 3D Point Clouds: A Survey , year=
Reference 44
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Observation 474e4de7-e444-486c-872b-841a4ca7bfb2 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Foundation Models Defining a New Era in Vision: A Survey and Outlook , year=
Reference 45
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Observation 93e57db2-a961-40e0-83af-fd4fe33881d0 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 2024 , eprint=
Reference 46
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Observation 1c70afd3-afb7-4666-b664-21dfa5ccd2fa · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer and Saux, B
Reference 47
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Observation d0ea8940-f15c-47c0-a1c1-c48538677f69 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Reference 48
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Unavailable: canonical work link unavailable.
Observation ee9588d1-ca14-4342-ad51-95f80b6cd68d · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
Reference 49
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Observation 61aedbd1-96c8-4d28-b6b7-53f8bca9ecd2 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 2018 IEEE international conference on robotics and automation (ICRA) , pages=
Reference 50
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Observation 699ee6c8-00af-444b-9f7a-30905e37397b · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 2019 , volume=
Reference 51
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Observation c5cb883d-34d5-4c8c-b707-eff2ed0c96ba · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Learning Multi-View Aggregation in the Wild for Large-Scale
Reference 52
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Observation 656ea685-be18-4a49-88c6-7a63d50232ce · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse
Reference 53
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Observation a946024e-580b-4da6-a1da-e2de0956f72e · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans , year=
Reference 54
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Observation 238f09cb-4fdd-4e52-b8d4-d804c9c7b44a · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer PointGrid: A Deep Network for 3D Shape Understanding , year=
Reference 55
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Observation 1fb49eca-1dd9-4272-9e5b-b113ff9d2acd · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer PCSCNet: Fast 3D semantic segmentation of LiDAR point cloud for autonomous car using point convolution and sparse convolution network , journal =
Reference 56
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Observation b34894a1-9dc7-4748-8117-6296ea66b35e · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds , year=
Reference 57
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Observation 67328d26-bb15-4e83-8dcf-c13b58295e9e · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer SIEV-Net: A Structure-Information Enhanced Voxel Network for 3D Object Detection From LiDAR Point Clouds , year=
Reference 58
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Observation b077a365-2ada-4ed8-8f34-bfb9874076d2 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =
Reference 59
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Observation e921a78a-3cbb-4140-b109-a736be6ec59a · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer and Yi, Li and Su, Hao and Guibas, Leonidas J
Reference 60
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Observation 28cc033d-59c2-4013-a825-3362b4659f30 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 61
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Observation b211a8d4-fd93-470f-9aba-2e5658712869 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer IEEE Transactions on Geoscience and Remote Sensing , volume=
Reference 62
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Observation e6df3fff-91f2-42a3-8535-d9e3042cff40 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Advances in Neural Information Processing Systems , volume =
Reference 63
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Observation b9d1c830-5ce1-49da-853f-ba71b50e32ec · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 3DGTN: 3-D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation , year=
Reference 64
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Observation 7f471afa-8bf8-44a9-a000-051773491650 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages=
Reference 65
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Observation 50e35917-49cf-4bf8-b2c0-e8dcb108f625 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer The Thirteenth International Conference on Learning Representations , year =
Reference 66
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Observation 473375e6-6a2c-41df-b4f6-b656af1dbe37 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer and Lo, Wan-Yen and Dollar, Piotr and Girshick, Ross , title =
Reference 67
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Observation 82797a0d-1137-4825-bea4-ec1274fb3dab · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Change Detection between Optical Remote Sensing Imagery and Map Data Via Segment Anything Model (SAM) , year=
Reference 68
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Observation 132b6725-b7b0-4845-8cd1-b32530b4c1e6 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer and Hiremath, Manjunatha , booktitle=
Reference 69
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Observation d38d8bc0-a7a6-4d90-bbad-b695e8f6ec46 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation , year=
Reference 70
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Observation 6ab9c44b-d0b2-427c-8f8d-c8aef9dcb140 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Spatio-Semantic Prompt guided Adaptive Segment Anything for Remote Sensing Change Detection , year=
Reference 71
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Observation 2e08d91a-093f-40be-88be-66adbc9ec676 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 2024 , issn=
Reference 72
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Observation d8290579-a5ac-4fc5-8904-72ec4822a921 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer BrainCrossFed CNN Model for Alzheimer Classification using MRI data and Comparison and Benchmarking proposed model with DINOv2 and ExplainableAI using GradCAM , year=
Reference 73
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Observation 8cab8af2-c047-4b20-9ae8-8fcc373d4a7e · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation , year=
Reference 74
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Observation c49b6c34-113f-4bfb-989a-d383b1da6499 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer DINOv2-Based UAV Visual Self-Localization in Low-Altitude Urban Environments , year=
Reference 75
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Observation 3f5e19e3-aaa4-46fa-810c-bd25f384d041 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer SegGPT: Towards Segmenting Everything In Context , year=
Reference 76
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Observation b67f5003-9247-452b-9e8c-ac693304f689 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Proceedings of the 38th International Conference on Machine Learning , pages=
Reference 77
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Observation 800333e7-d94f-4627-904a-ed2da49a91e6 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer ACM Transactions on Graphics , month = dec, articleno =
Reference 78
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Observation 381d1518-09b0-4ba4-bc1f-1db7cbdec2dd · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer MVSplat : Efficient 3D Gaussian Splatting from Sparse Multi-view Images
Reference 79
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Observation 688a1efa-19c3-4a9d-a95b-871d24f86603 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization , year=
Reference 80
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Observation 555fa446-90cb-4135-8a3f-c34d9543b8eb · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer FSGS: Real-Time Few-Shot View Synthesis Using Gaussian Splatting
Reference 81
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Observation 83e73b1a-91ec-47fc-87d1-71e986231e5b · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer PixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction , year=
Reference 82
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Unresolved cited work
Reference 83
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Reference 84
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
Reference 85
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Reference 86
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Reference 87
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces , year=
Reference 88
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Gaussian Shadow Casting for Neural Characters , year=
Reference 89
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Observation 8198161e-e33a-421c-8b70-10115cba843c · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 2024 , booktitle =
Reference 90
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Reference 91
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer , booktitle=
Reference 92
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization , year=
Reference 93
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering , year=
Reference 94
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Unresolved cited work
Reference 95
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Gaussian G rouping: Segment and Edit Anything in 3D Scenes
Reference 96
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding , year=
Reference 97
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Reference 98
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction , year=
Reference 99
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CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering , year=
Reference 100
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Observation 6dce0236-e3f1-47d7-bb74-822f26cea115 · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer Gaussian Head Avatar: Ultra High-Fidelity Head Avatar via Dynamic Gaussians , year=
Reference 101
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Observation 73a8be01-15c9-48d0-b760-899d28f8f0fb · outbound
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer ACM Trans
Reference 102
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No inbound Pith citation observations are available.