CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting | Paper Citation Record

Observation 79806587-79c3-4fa0-a83e-eb0a430091e5 · outbound

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

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.572771Z

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Observation 549dd890-7273-427a-97a3-69f617c458d9 · outbound

This paper cites Bonnet: An open-source training and deployment framework for semantic segmentation in robotics using cnns,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Bonnet: An open-source training and deployment framework for semantic segmentation in robotics using cnns,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.558960Z

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Observation 4bd97106-d1bc-4b8b-aaac-15f4857707e8 · outbound

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

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting U-net: Convolutional networks for biomedical image segmentation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.749323Z

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Observation b3edccfb-4008-4350-b2bd-ae0ccd4748a6 · outbound

This paper cites Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.535974Z

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Observation 22c73c7d-bdda-4420-b87f-50cfeeb554bc · outbound

This paper cites Robust semantic segmentation in adverse weather conditions by means of sensor data fusion,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Robust semantic segmentation in adverse weather conditions by means of sensor data fusion,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.521172Z

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Observation 9bec7da8-b922-4d2e-be47-30118619aa10 · outbound

This paper cites Crn: Camera radar net for accurate, robust, efficient 3d perception,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Crn: Camera radar net for accurate, robust, efficient 3d perception,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.506664Z

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Observation b3b360c0-c61d-4b97-aa20-bed4637f410e · outbound

This paper cites Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection,

Reference 7

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Observation 0c6a13e5-3793-4f60-b499-e46324ecfae3 · outbound

This paper cites Cafnet: A confidence-driven framework for radar camera depth estimation,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Cafnet: A confidence-driven framework for radar camera depth estimation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.483938Z

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Observation bfe996f5-fbbf-4337-a6e7-d670a74af508 · outbound

This paper cites Get- up: Geometric-aware depth estimation with radar points upsampling,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Get- up: Geometric-aware depth estimation with radar points upsampling,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.469701Z

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Observation d45dd0fd-0afe-4525-b3cf-11a8a6c53411 · outbound

This paper cites RadSegNet: A Reliable Approach to Radar Camera Fusion.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting RadSegNet: A Reliable Approach to Radar Camera Fusion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.779690Z

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Observation 40104bec-5daa-4a86-890a-22c1b8a174bd · outbound

This paper cites BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.784171Z

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Observation ed789829-d2b8-4fd2-a5f4-147766697e03 · outbound

This paper cites Attention is all you need,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Attention is all you need,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.789438Z

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Observation 218e6a7a-cbc9-44ca-a88a-9cd26bb9e3cf · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 13

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Observation 3bc2c26a-da62-4852-8c99-b0bbd21eaa90 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting High-resolution image synthesis with latent diffusion models,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.800952Z

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Observation 5b0e4e21-b682-4be5-bcf1-e64e03c74ebb · outbound

This paper cites Waterscenes: A multi-task 4d radar-camera fusion dataset and benchmarks for autonomous driving on water surfaces,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Waterscenes: A multi-task 4d radar-camera fusion dataset and benchmarks for autonomous driving on water surfaces,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.805486Z

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Observation 81c2df1e-6e44-40c1-a9d1-5077b806f8a9 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Fully convolutional networks for semantic segmentation,

Reference 16

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Observation 56233d50-8e42-444d-b861-d23eaf5eac13 · outbound

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

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Segnet: A deep convolutional encoder-decoder architecture for image segmentation,

Reference 17

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Observation c05cb88f-de15-4670-80b5-02c73a306ee1 · outbound

This paper cites Gated fully fusion for semantic segmentation,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Gated fully fusion for semantic segmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.407242Z

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Observation b13b8af3-cb24-4ab8-a481-70c29142ce0f · outbound

This paper cites Bfmnet: Bilateral feature fusion network with multi-scale context aggregation for real-time semantic segmentation,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Bfmnet: Bilateral feature fusion network with multi-scale context aggregation for real-time semantic segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.392180Z

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Observation 9829d1fa-cccc-44a9-96f4-d5b0fbbcc09c · outbound

This paper cites Deep dual-resolution networks for real-time and accurate semantic segmentation of traffic scenes,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Deep dual-resolution networks for real-time and accurate semantic segmentation of traffic scenes,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.376555Z

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Observation 5b4b03b3-bfcd-422a-8047-4453c749ec9a · outbound

This paper cites Segmenter: Trans- former for semantic segmentation,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Segmenter: Trans- former for semantic segmentation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.832473Z

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Observation c2b53ae8-c279-47e0-854e-b9e77fc80cc1 · outbound

This paper cites Semantic segmentation in multiple adverse weather conditions with domain knowledge retention,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Semantic segmentation in multiple adverse weather conditions with domain knowledge retention,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.352338Z

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Observation d10a0d7f-2962-42b6-aaed-2921a00ab502 · outbound

This paper cites Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:49:47.022377Z

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Observation 64039f51-25c1-4704-8de5-8ee73d37c26b · outbound

This paper cites Multi- view radar semantic segmentation,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Multi- view radar semantic segmentation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.337050Z

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Observation b62ce196-dcdc-4d52-9bd1-ee6fced8448b · outbound

This paper cites Transradar: Adaptive- directional transformer for real-time multi-view radar semantic seg- mentation,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Transradar: Adaptive- directional transformer for real-time multi-view radar semantic seg- mentation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.848354Z

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Observation 7ac153eb-0a93-4081-bc4f-b5cbcdd18b93 · outbound

This paper cites Gaussian radar transformer for semantic segmentation in noisy radar data,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Gaussian radar transformer for semantic segmentation in noisy radar data,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.852547Z

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Observation 8ed2b1ac-e18c-4a83-94c2-fd52a12082cd · outbound

This paper cites A novel method for improving point cloud accuracy in automotive radar object recognition,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting A novel method for improving point cloud accuracy in automotive radar object recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.301347Z

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Observation ffd8a48b-fbd4-495a-94ef-ba064b28898b · outbound

This paper cites Radar instance transformer: Reliable moving instance segmentation in sparse radar point clouds,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Radar instance transformer: Reliable moving instance segmentation in sparse radar point clouds,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.287139Z

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Observation 4912fc11-6f47-419f-b55d-fdb6781d0697 · outbound

This paper cites Automotive radar and camera fusion using generative adversarial networks,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Automotive radar and camera fusion using generative adversarial networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.272636Z

Source-reported events for the cited work

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Observation 689ab304-d3de-4525-bf4b-45cfd36d4021 · outbound

This paper cites So-net: Joint semantic segmentation and obstacle detection using deep fusion of monocular camera and radar,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting So-net: Joint semantic segmentation and obstacle detection using deep fusion of monocular camera and radar,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.259380Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a670020-90ce-4859-a792-440c36e73dd7 · outbound

This paper cites Multi-task cross-modality attention-fusion for 2d object detection,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Multi-task cross-modality attention-fusion for 2d object detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.245651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b9daf54a-5cf9-475f-b4fe-204cce479ec7 · outbound

This paper cites Achelous: A fast unified water-surface panoptic perception framework based on fusion of monocular camera and 4d mmwave radar,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Achelous: A fast unified water-surface panoptic perception framework based on fusion of monocular camera and 4d mmwave radar,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.877753Z

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Observation 8e5826b4-3870-46fb-bea5-c432085355eb · outbound

This paper cites Gmmseg: Gaussian mixture based generative semantic segmentation models,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Gmmseg: Gaussian mixture based generative semantic segmentation models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.221749Z

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Observation 0844d497-12bb-4f9e-9884-0b49c6ee65c5 · outbound

This paper cites Fiss gan: A generative adversarial network for foggy image semantic segmentation,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Fiss gan: A generative adversarial network for foggy image semantic segmentation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.206411Z

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Observation 4e56536a-f90b-429c-8d2b-4bb943424f38 · outbound

This paper cites Guidance and evaluation: Semantic-aware image inpainting for mixed scenes,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Guidance and evaluation: Semantic-aware image inpainting for mixed scenes,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.190534Z

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Observation 787bf301-e803-47f2-b5b6-1c9c5888e9f7 · outbound

This paper cites Inpaint Anything: Segment Anything Meets Image Inpainting.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.897454Z

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Observation acb0b3db-c9cb-4866-bfcb-05693ed080e0 · outbound

This paper cites Segment anything,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Segment anything,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.901897Z

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Observation a480e7d1-15cb-4bf4-b66d-ef5a869f092d · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.906057Z

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Observation 941cad26-afa6-43dd-acbd-af70a763e584 · outbound

This paper cites Focal loss for dense object detection,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Focal loss for dense object detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.155634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 55d5628f-e589-4444-ac25-c3b45b50f99a · outbound

This paper cites Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.142177Z

Source-reported events for the cited work

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Observation 19839235-5590-4809-8f4b-fe7cbb87539c · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 41

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Observation 0a53f1de-78a3-40ea-b6b9-e35bb1cc63f0 · outbound

This paper cites Pytorch lightning,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Pytorch lightning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.127588Z

Source-reported events for the cited work

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Observation c17d4d60-f258-4aad-84a4-c3413a1b4bfb · outbound

This paper cites Decoupled Weight Decay Regularization.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Decoupled Weight Decay Regularization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.926944Z

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Observation e3eaec19-d11b-48fc-9286-31f89dc1fe7b · outbound

This paper cites The pascal visual object classes (voc) challenge,.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting The pascal visual object classes (voc) challenge,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:47.112970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f70794fa-c4b3-485e-a5fa-be54ba1db3f1 · outbound

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

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting nuscenes: A multimodal dataset for autonomous driving,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:46.937114Z

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