Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:18:46.067417Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2505.01615.
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 2026-08-16T04:18:46.067417Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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
82 of 82 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7ca0beaf-5fb0-43af-a8f9-91a4ceb957aa · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Vision-RADAR fusion for Robotics BEV Detections: A Survey,
Reference 1
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Unavailable: canonical work link unavailable.
Observation 33f8d6ef-b435-4097-9e54-b7c4f2ec0281 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Real-time 360 degrees view for the operator of milliampere 2,
Reference 2
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Observation 0d1c1c85-e68c-4235-a8bc-5733a195294a · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Object detection based on multi- sensor proposal fusion in maritime environment,
Reference 3
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Observation 26eb9aab-3631-4300-bafb-c29bca830e7d · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Ship detection based on lidar and visual information fusion,
Reference 4
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Observation a187603d-538a-40bd-9d62-217752b92170 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Lidar-based simultaneous multi-object tracking and static mapping in nearshore scenario,
Reference 5
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Observation 0736f2e2-6337-464c-af7e-53c4d407b2ee · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Comparison of multi-sensor fusion methods for maritime target object tracking,
Reference 6
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Observation 6936c219-f8ce-4bba-bb12-03beadb0c657 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation An efficient multi-sensor fusion approach for object detection in maritime environments,
Reference 7
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Observation 6ab3fe92-b499-4eb3-aa17-71ad7f7469ca · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Multimodal perception for obstacle detection for flying boats-unmanned surface vehicle (usv),
Reference 8
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Observation 5ad5af50-c854-4b8e-8847-a5bfa742545b · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Sensor combinations in heterogeneous multi-sensor fusion for maritime target tracking,
Reference 9
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Observation f441d040-7e1c-49aa-ba57-a7f1686d881b · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Stereo camera-based free space estimation for docking in urban waters,
Reference 10
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Observation 7a1de628-9a31-4d8a-a10d-e0b3af66b6b9 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,
Reference 11
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Unavailable: canonical work link unavailable.
Observation a9e7a7c1-22b0-440f-832b-6d71ac428de3 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Petr: Position embedding trans- formation for multi-view 3d object detection,
Reference 12
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Unavailable: canonical work link unavailable.
Observation 69ad6ed8-03af-464f-9f6b-b53383775edc · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Cross-view Transformers for real-time Map-view Semantic Segmentation,
Reference 13
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Observation 4721a16f-16bf-430b-9ce7-e9f54b56be0d · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Cross-view Semantic Segmentation for Sensing Surroundings,
Reference 14
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Observation ab7e81e1-f39a-4fa9-9d99-52a71cf9727b · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Orthographic Feature Trans- form for Monocular 3D Object Detection,
Reference 15
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Observation f7e9da4f-30e6-40b0-a060-1ebf1c424c88 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Delving into the Devils of Bird’s-eye-view Perception: A Review, Evaluation and Recipe,
Reference 16
Source-reported events for the cited work
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Observation a3fb4076-7fdf-4311-91d8-3857b9553a15 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Fcos3d: Fully convolutional one- stage monocular 3d object detection,
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a17d01c-c23b-41f1-9a6c-86cecd835974 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Smoke: Single-stage monocular 3d object detection via keypoint estimation,
Reference 18
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Unavailable: canonical work link unavailable.
Observation eef85a32-6be1-4eab-a738-31d474972802 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View
Reference 19
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Unavailable: canonical work link unavailable.
Observation 7e431439-647f-47ce-a217-54697e2e9c6f · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,
Reference 20
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Unavailable: canonical work link unavailable.
Observation ab5b4a94-3207-4816-8969-b06222934184 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation A sim2real deep learning ap- proach for the transformation of images from multiple vehicle-mounted cameras to a semantically segmented image in bird’s eye view,
Reference 21
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Observation cc5e4793-025a-49f8-8d95-b31a9f8495fa · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras,
Reference 22
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Unavailable: canonical work link unavailable.
Observation 403cd730-9ace-479f-bcf6-a9ca09a8291b · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Hdmapnet: An online hd map construction and evaluation framework,
Reference 23
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Observation 3c3cbe9d-4c97-49b7-8bcc-32bf900a99c7 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,
Reference 24
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Unavailable: canonical work link unavailable.
Observation 38f032b6-bbed-4379-ab99-d61e8f1a5f10 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,
Reference 25
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Observation 5b140729-215c-4d95-9495-7eb7465f0896 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pv-rcnn: Point-voxel feature set abstraction for 3d object detection,
Reference 26
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Unavailable: canonical work link unavailable.
Observation 566f99a4-b502-4330-b3cb-ce6ed41b8ff0 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Center-based 3d object detection and tracking,
Reference 27
Source-reported events for the cited work
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Observation ffeca389-f417-4b07-ac13-423b9458efc6 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Embracing single stride 3d object detector with sparse transformer,
Reference 28
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Unavailable: canonical work link unavailable.
Observation 18eba450-d6f6-4144-9b5d-dbaf8b373614 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Afdetv2: Rethinking the necessity of the second stage for object detection from point clouds,
Reference 29
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Observation 962f4fcb-893b-4df6-aab3-bc891745c8ed · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pyramid r-cnn: Towards better performance and adaptability for 3d object detection,
Reference 30
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Observation df33a7cc-8655-4c90-8e8a-7c19d24d0cac · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Mppnet: Multi-frame feature intertwining with proxy points for 3d temporal ob- ject detection,
Reference 31
Source-reported events for the cited work
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Observation 8fc0fb71-5697-46fe-8031-a067b580e0b2 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation V oxelnet: End-to-end learning for point cloud based 3d object detection,
Reference 32
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Observation de50c86b-8197-4c84-b922-2b5c42be205a · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pointpillars: Fast encoders for object detection from point clouds,
Reference 33
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Unavailable: canonical work link unavailable.
Observation b19d6e8d-3711-4131-b037-7a0d2e1b8ded · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pointpainting: Se- quential fusion for 3d object detection,
Reference 34
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Observation 8740310f-4472-45dd-8016-a195e63703f6 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Multimodal virtual point 3d detection,
Reference 35
Source-reported events for the cited work
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Observation 207cbdc7-33a8-431a-a111-c46b5c9df131 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection
Reference 36
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Unavailable: canonical work link unavailable.
Observation cb37a065-363d-4a96-ae8a-7975084ba69d · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection,
Reference 37
Source-reported events for the cited work
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Observation a02b0e8a-a3d2-453f-8666-46b4850cf43a · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation,
Reference 38
Source-reported events for the cited work
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Observation b53e6274-f98f-4709-bac8-5f7e49c04ca3 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Rethinking imagenet pre-training,
Reference 39
Source-reported events for the cited work
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Observation 62ccc066-624c-47c3-a720-f1d6f7a068a4 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Second: Sparsely embedded convolutional detection,
Reference 40
Source-reported events for the cited work
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Observation 27ffafa9-a42a-4eed-84cf-6620de517fd6 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Structure aware single-stage 3d object detection from point cloud,
Reference 41
Source-reported events for the cited work
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Observation 65b58865-4448-48bd-8e7f-8aa87104e4a4 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation V oxel transformer for 3d object detection,
Reference 42
Source-reported events for the cited work
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Observation 91d84d8c-0a68-4cb2-bb73-a161c2d88d2c · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Multi-View 3D Object Detection Network for Autonomous Driving,
Reference 43
Source-reported events for the cited work
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Observation fcd90d4e-5bad-4bee-86b8-32d88bbd9761 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pixor: Real-time 3d object detection from point clouds,
Reference 44
Source-reported events for the cited work
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Observation e85b631f-7399-4624-92bf-3526f97e7ebb · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Hdnet: Exploiting hd maps for 3d object detection,
Reference 45
Source-reported events for the cited work
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Observation 289b3ace-f705-455d-98e3-2b8273456cc5 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Rt3d: Real- time 3-d vehicle detection in lidar point cloud for autonomous driving,
Reference 46
Source-reported events for the cited work
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Observation 8a0ccfae-d017-4db5-9f5c-80bbe15f5ebd · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Yolo3d: End-to-end real-time 3d oriented object bounding box detection from lidar point cloud,
Reference 47
Source-reported events for the cited work
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Observation 981d4e7c-804c-49a9-ab82-063521773334 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Complex-yolo: An euler-region-proposal for real-time 3d object detection on point clouds,
Reference 48
Source-reported events for the cited work
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Observation d4ecd092-415a-475e-a62c-b8f31b4f0a5c · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pointaugmenting: Cross-modal augmentation for 3d object detection,
Reference 49
Source-reported events for the cited work
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Observation e2838f46-1835-4214-9a5b-e54514192e21 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Bevfusion: A simple and robust lidar-camera fusion framework,
Reference 50
Source-reported events for the cited work
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Observation f9baf75c-63c5-4e30-b834-c67817cdfdb1 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Unifying voxel-based representation with transformer for 3d object detection,
Reference 51
Source-reported events for the cited work
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Observation 9a061c22-d27a-4149-a8a6-1cc7c3bc2b2c · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Inverse perspective mapping simplifies optical flow computation and obstacle detection,
Reference 52
Source-reported events for the cited work
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Observation 0f7e7b32-35d3-4792-883f-3e8a1ea0170f · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation 3D-LaneNet: End-to-End 3D Multiple Lane Detection
Reference 53
Source-reported events for the cited work
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Observation b10d603b-af22-4000-9753-e0f85f1fc537 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Deep learning based vehicle position and orientation estimation via inverse perspective mapping image,
Reference 54
Source-reported events for the cited work
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Observation 31e5b08f-f05a-4547-9141-76b92d6d02af · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
Reference 55
Source-reported events for the cited work
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Observation 471342a8-a627-419b-adae-ff062e937946 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D,
Reference 56
Source-reported events for the cited work
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Observation c48dcdbb-3c89-4bc1-9ca2-81eaf618b46b · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Robust free area mapping for autonomous harbour navigation,
Reference 57
Source-reported events for the cited work
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Observation ebb396e1-d56f-4a13-8eb6-f37d930441fe · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Reference 58
Source-reported events for the cited work
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Observation f829d938-b800-4afc-b2cb-39b8a4382981 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Categorical Depth Distribution Network for Monocular 3D Object Detection
Reference 59
Source-reported events for the cited work
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Observation 36cdc8c2-7fa9-4e1b-8c94-155d082d999c · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion,
Reference 60
Source-reported events for the cited work
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Observation e8b6ad17-d127-4d93-bf1c-0bac5681ace3 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Liga-stereo: Learning lidar geometry aware representations for stereo-based 3d detector,
Reference 61
Source-reported events for the cited work
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Observation 5fb66505-96d1-41cd-bb1a-a7b4b45e7cc8 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Is pseudo lidar needed for monocular 3d object detection,
Reference 62
Source-reported events for the cited work
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Observation ee111ee5-b8ce-48a3-b7e3-ecaaf021891e · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Dsgn: Deep stereo geometry network for 3d object detection,
Reference 63
Source-reported events for the cited work
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Observation a5c814c6-ac97-417b-b4a1-ed47a6fc0130 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Translating images into maps,
Reference 64
Source-reported events for the cited work
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Observation c6f4343a-eb5b-441d-96ff-a85bc49ac53f · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Cross-view semantic segmentation for sensing surroundings,
Reference 65
Source-reported events for the cited work
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Observation 81b2bdb8-db77-4957-9424-a144a8c39568 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Attention is all you need,
Reference 66
Source-reported events for the cited work
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Observation 64c08d95-a881-465c-ba5b-c6aa6dd1c7d8 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Simple- BEV: What Really Matters for Multi-Sensor BEV Perception?
Reference 67
Source-reported events for the cited work
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Observation 68653a78-6f9b-4285-b693-89fb8c96ad24 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation HDMapNet: An Online HD Map Construction and Evaluation Framework,
Reference 68
Source-reported events for the cited work
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Observation cae99011-c2f2-4d19-9cdd-b0e5c77e8981 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation PETR: Position Embedding Transformation for Multi-View 3D Object Detection,
Reference 69
Source-reported events for the cited work
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Observation 648aac4f-7db6-4d79-a297-db1d1a26d1bc · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Focal loss for dense object detection,
Reference 70
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Observation 5cbd9fb4-3558-4e03-b8e2-168ad0a69579 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Birdnet: a 3d object detection framework from 14 lidar information,
Reference 71
Source-reported events for the cited work
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Observation 6377eb36-520b-4cbc-b6ef-5b489e9bf699 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation U-net: Convolutional networks for biomedical image segmentation,
Reference 72
Source-reported events for the cited work
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Observation 2568969f-773e-4171-9b6c-26537a78b2e3 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Fishing net: Future inference of semantic heatmaps in grids,
Reference 73
Source-reported events for the cited work
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Observation fcc40c19-4b8d-4b32-8a23-2ba37e1e17e0 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Are Transformers universal approximators of sequence-to-sequence functions?
Reference 74
Source-reported events for the cited work
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Observation 65cd2da5-5514-4dd1-8833-47c7181f17e4 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Unifusion: unified multi- view fusion transformer for spatial-temporal representation in bird’s-eye- view,
Reference 75
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cd207a38-44e8-455f-b358-2f7b34ab9345 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving,
Reference 76
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Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Efficientnet: Rethinking model scaling for con- volutional neural networks,
Reference 77
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Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,
Reference 78
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Observation 8348824f-9c35-40ec-a47f-5a08bd2dc967 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Simple- bev: What really matters for multi-sensor bev perception?
Reference 79
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Observation f7db9097-df93-476e-a48c-9db7c539d707 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Decoupled Weight Decay Regularization
Reference 80
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Observation 4976e5b6-d554-47fd-b362-3e413998c95c · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Super-convergence: Very fast training of neural networks using large learning rates,
Reference 81
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Observation ebe622fa-c12d-491b-b187-3b1d4f345b44 · outbound
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Deformable DETR: Deformable Transformers for End-to-End Object Detection,
Reference 82
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