Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation | Paper Citation Record

Observation 66529840-504d-425b-9fe6-9017846b8106 · outbound

This paper cites Remote sensing image change detection with transformers,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Remote sensing image change detection with transformers,

Reference 1

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Observation 43d3406f-83ad-45bc-998c-0d5050a286a8 · outbound

This paper cites Bifa: Remote sensing image change detec- tion with bitemporal feature alignment,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Bifa: Remote sensing image change detec- tion with bitemporal feature alignment,

Reference 2

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Observation 4471d558-1dae-464c-87cf-e965abacea6d · outbound

This paper cites Pixel-level change detection pseudo-label learn- ing for remote sensing change captioning,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Pixel-level change detection pseudo-label learn- ing for remote sensing change captioning,

Reference 3

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Observation 224e6219-ea06-471a-b613-28aca2655be7 · outbound

This paper cites CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 4

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Observation cf21dfaf-0a5b-493f-aacd-f9144fc502b5 · outbound

This paper cites Road extraction in remote sensing data: A sur- vey,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Road extraction in remote sensing data: A sur- vey,

Reference 5

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Observation 804fc9f9-0112-4037-bf8e-4e7e2353e924 · outbound

This paper cites Topology-guided road graph extraction from remote sensing images,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Topology-guided road graph extraction from remote sensing images,

Reference 6

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Observation 092260fe-0512-4bd6-a56e-6b4963b0111d · outbound

This paper cites High- resolution remote sensing image scene understanding: A review,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation High- resolution remote sensing image scene understanding: A review,

Reference 7

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Observation beb6f3a6-3738-4c97-ab72-87917939385d · outbound

This paper cites Mlrsnet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Mlrsnet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding,

Reference 8

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Observation 915af01b-ce67-46f7-bb3c-ee21f81222a5 · outbound

This paper cites Multi-objects change detection based on res-unet,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Multi-objects change detection based on res-unet,

Reference 9

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Observation 2188ea0a-bea6-4d19-a58d-8842c5f753bf · outbound

This paper cites Encoder-decoder with atrous separable convo- lution for semantic image segmentation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Encoder-decoder with atrous separable convo- lution for semantic image segmentation,

Reference 10

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Observation 86b59e4e-c3a5-4ec1-808b-8f7b4d7f6bee · outbound

This paper cites CNN-based Segmentation of Medical Imaging Data.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation CNN-based Segmentation of Medical Imaging Data

Reference 11

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Observation 74015738-2618-4ad0-9186-671633bb699b · outbound

This paper cites Hyperdense-net: a hyper-densely connected cnn for multi-modal image segmentation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Hyperdense-net: a hyper-densely connected cnn for multi-modal image segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:39.164371Z

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Observation 5650dcb6-22ec-4082-8b7f-2a45070a46e1 · outbound

This paper cites Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,

Reference 13

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Observation 522df025-3e74-4f43-9dbe-d9c3895fcc27 · outbound

This paper cites Seg- menter: Transformer for semantic segmentation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Seg- menter: Transformer for semantic segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:39.124177Z

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Observation 774c4c90-22e2-4c1f-9bb5-c216160f5207 · outbound

This paper cites MISSFormer: An Effective Medical Image Segmentation Transformer.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation MISSFormer: An Effective Medical Image Segmentation Transformer

Reference 15

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Observation ba285543-f527-4ad4-91ce-e06e6214c6a4 · outbound

This paper cites Transformer-based visual segmentation: A survey,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Transformer-based visual segmentation: A survey,

Reference 16

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Observation 3b2827a2-ad11-408a-a68d-f8d78e6861bb · outbound

This paper cites Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis

Reference 17

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Observation 5763d565-a182-4e8d-8702-cee801c789d4 · outbound

This paper cites Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

Reference 18

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Observation 43da01cc-6711-4a77-939f-6284250944a9 · outbound

This paper cites In-place scene labelling and understanding with implicit scene representation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation In-place scene labelling and understanding with implicit scene representation,

Reference 19

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Observation e4ec6094-95c2-4c7b-aea5-7fa2bd610e67 · outbound

This paper cites Implicit ray transformers for multiview remote sensing image segmentation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Implicit ray transformers for multiview remote sensing image segmentation,

Reference 20

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Observation 349ed4d9-3287-489f-bd5e-78c96f4c337f · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 21

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Observation 25d0c608-c1a1-4160-abc7-3bea596a7c21 · outbound

This paper cites NeRF++: Analyzing and Improving Neural Radiance Fields.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation NeRF++: Analyzing and Improving Neural Radiance Fields

Reference 22

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Observation 39cb064b-81f5-4d27-b063-451c8f652aea · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 23

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Observation 8d29f133-b26b-4b5d-8f2d-8e0ce97f505f · outbound

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

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation SAM 2: Segment Anything in Images and Videos

Reference 24

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Observation c9166968-eeee-4e39-8357-3d69edda1c22 · outbound

This paper cites 3D Gaussian Splatting for Real-Time Radiance Field Rendering.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation 3D Gaussian Splatting for Real-Time Radiance Field Rendering

Reference 25

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Observation 6cf86390-0fa6-411c-9c72-4d1982ca44ed · outbound

This paper cites Carla: An open urban driving simulator,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Carla: An open urban driving simulator,

Reference 26

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Observation 7bbb94bb-a908-46bc-84be-4593d6804c90 · outbound

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

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 27

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Observation df954bec-3286-477c-aad7-8a85df79da0b · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Multi-Scale Context Aggregation by Dilated Convolutions

Reference 28

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Observation 9420cf98-d7f7-4de4-be89-77070c9d3f1f · outbound

This paper cites Enhanced feature pyramid network for semantic seg- mentation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Enhanced feature pyramid network for semantic seg- mentation,

Reference 29

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Observation ee8487d0-7607-485a-a922-1756b215b1e5 · outbound

This paper cites Panoptic Feature Pyramid Networks.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Panoptic Feature Pyramid Networks

Reference 30

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Observation 6d2f91ed-31f7-4fa6-8a9f-af872311e79b · outbound

This paper cites Feature pyramid network for multi-class land segmen- tation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Feature pyramid network for multi-class land segmen- tation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.959088Z

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Observation ba76cfa8-0d80-4c5e-afc2-bc85e5bcd5b5 · outbound

This paper cites Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization

Reference 32

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Observation 39cfe31a-5a68-48c9-a986-ba6bfc86b252 · outbound

This paper cites Dual attention network for scene segmentation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Dual attention network for scene segmentation,

Reference 33

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Observation 9fd8d86a-1f55-4757-836a-7e7c77ca3ac5 · outbound

This paper cites Attention is all you need,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Attention is all you need,

Reference 34

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Observation 0c4cd4c2-4417-4940-b340-46fc3e4b5334 · outbound

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

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 35

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Observation 9bcb5f09-ff24-4e2d-bedc-bb1af5a0b51f · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 36

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Observation b934bae6-5f83-46f7-8f9d-c0ca0ba76fda · outbound

This paper cites SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion

Reference 37

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Observation 1b125b09-22a1-4715-b8db-c4c84706d73f · outbound

This paper cites Hybridnet for depth estimation and semantic seg- mentation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Hybridnet for depth estimation and semantic seg- mentation,

Reference 38

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Observation b1a8f841-ceba-429f-8653-2ce0585d274a · outbound

This paper cites Remote sensing image segmentation based on implicit 3d scene represen- tation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Remote sensing image segmentation based on implicit 3d scene represen- tation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.865360Z

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Observation c54e7bcf-8cd4-477a-b1eb-8dd1e086b12d · outbound

This paper cites Spin-nerf: Multiview segmentation and perceptual inpainting with neural radiance fields,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Spin-nerf: Multiview segmentation and perceptual inpainting with neural radiance fields,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T20:14:37.979129Z

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Observation c3435dd3-5a1d-4d5e-9729-27a3562bf279 · outbound

This paper cites OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views

Reference 41

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Observation e15435ca-45e1-4100-985e-6c3a1b357b18 · outbound

This paper cites 3d reconstruction of remote sensing mountain areas with tsdf-based neural networks,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation 3d reconstruction of remote sensing mountain areas with tsdf-based neural networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.833683Z

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Observation ac25c97a-0a08-42ef-a8c9-c0aefb04b890 · outbound

This paper cites Deep learning for 3d point clouds: A survey,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Deep learning for 3d point clouds: A survey,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.816848Z

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Observation 3557766f-4330-47d5-a0fe-794b1a3dcf3e · outbound

This paper cites Flashsplat: 2d to 3d gaussian splatting segmentation solved optimally,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Flashsplat: 2d to 3d gaussian splatting segmentation solved optimally,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.797175Z

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Observation 3516a0ff-0643-4167-9f8b-f91d806a6af4 · outbound

This paper cites Gaussian grouping: Segment and edit anything in 3d scenes,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Gaussian grouping: Segment and edit anything in 3d scenes,

Reference 45

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Observation 96677bf7-86ed-46cb-a15c-bc91e2cca8bf · outbound

This paper cites Click- gaussian: Interactive segmentation to any 3d gaussians,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Click- gaussian: Interactive segmentation to any 3d gaussians,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.762093Z

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Observation 56d9a695-20c1-494e-8443-a91a70f6fc30 · outbound

This paper cites Segment anything,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Segment anything,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.737167Z

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Observation 4e18f004-02f7-4234-a617-00d7fc025b63 · outbound

This paper cites Segment anything in high quality,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Segment anything in high quality,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.722069Z

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Observation b9236d8f-7391-4885-89f6-627dd532db12 · outbound

This paper cites Segment anything model for medical image analysis: an experimental study,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Segment anything model for medical image analysis: an experimental study,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T20:14:38.051744Z

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Observation bf126d2b-3121-40da-be46-6a679df7a1e4 · outbound

This paper cites Segment anything in 3d with nerfs,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Segment anything in 3d with nerfs,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.695062Z

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Observation 9ed113c1-ddad-485d-807a-6317a94023ea · outbound

This paper cites Multi-view remote sensing image segmentation with sam priors,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Multi-view remote sensing image segmentation with sam priors,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.679378Z

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Observation 2bc3f7a6-a79d-40ae-bbbd-725a8d29f489 · outbound

This paper cites Structure-from- motion revisited,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Structure-from- motion revisited,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.662662Z

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Observation 0488b6db-f72b-4651-8422-77c601f29d6e · outbound

This paper cites Application of 3d gaussian splatting for cinematic anatomy on consumer class devices,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Application of 3d gaussian splatting for cinematic anatomy on consumer class devices,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T20:14:38.079036Z

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Observation 497bd396-4233-4dc9-a939-b1af444f0ecb · outbound

This paper cites GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T20:14:38.084418Z

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Observation 13285961-0245-47f7-87ab-45fafe2ad539 · outbound

This paper cites Text-to-3d us- ing gaussian splatting,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Text-to-3d us- ing gaussian splatting,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.630886Z

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Observation cb316c9e-c4b3-4cc3-b1e6-7ef3ac501261 · outbound

This paper cites Seg- net: A deep convolutional encoder-decoder architecture for image segmentation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Seg- net: A deep convolutional encoder-decoder architecture for image segmentation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.610021Z

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Observation 345a0222-6674-4312-98f3-326c80cb920f · outbound

This paper cites U-net: Con- volutional networks for biomedical image segmentation,.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation U-net: Con- volutional networks for biomedical image segmentation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:14:38.578206Z

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Observation 27c66c10-25ee-4957-9181-c182d232c896 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 58

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