Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:18:34.717325Z
Paper Citation Record · LEDGER
As of 31 July 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2604.13244.
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 2026-05-10T16:18:34.717325Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+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
60 of 60 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 360f1eff-0468-47c4-a4c2-e4d5b663d304 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Unresolved cited work
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4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview WaSR–A Water Segmenta- tion and Refinement Maritime Obstacle Detection Network
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4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview The mastr1325 dataset for training deep usv obstacle detection models
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Observation 583d2b9a-1b40-4063-915e-a0f4f03c7e1d · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Mixed Pseudo Labels for Semi-Supervised Object Detection
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Observation 12a7566f-99df-4517-a178-5e70d1ab3c91 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Schwing, Alexan- der Kirillov, and Rohit Girdhar
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Observation 8787c5d2-95bf-45d9-a926-c0dd9c76b478 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview MMSegmenta- tion: Openmmlab semantic segmentation toolbox and benchmark
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4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Imagenet: A large-scale hierarchical image database
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4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Rsuigm: Realistic synthetic underwater image gener- ation with image formation model.ACM Trans
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Observation ee535050-09e3-48f7-9501-17ef73ce1c1d · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Detection of bodies in maritime rescue operations using unmanned aerial vehicles with multispectral cameras.Journal of Field Robotics, 36(4):782–796
Reference 9
Source-reported events for the cited work
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Observation b5bc590b-40c3-440e-805c-17330af7c764 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview YOLOX: Exceeding YOLO Series in 2021
Reference 10
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Observation 89289bd8-4c2d-4bfc-b066-e5aaa40c2e3a · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Cubuk, Quoc V
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Observation 720a96e3-f11e-4823-a874-bc9beba894f1 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Maritime collision avoidance dataset germany, english channel, and the netherlands
Reference 12
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Observation 8a88149f-e6a9-4bbe-a210-a01ce30add26 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Lvis: A dataset for large vocabulary instance segmentation
Reference 13
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Observation 99d97188-c6d0-4178-b656-3f78d059d856 · outbound
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Reference 14
Source-reported events for the cited work
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Observation 89d5853c-e025-4e21-9224-59782f266e40 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview arXiv preprint arXiv:2509.20787 (2025)
Reference 15
Source-reported events for the cited work
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Observation 29c8e8cb-a429-43ff-87a8-4020c97890ed · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Ultralytics YOLO, Jan
Reference 16
Source-reported events for the cited work
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Observation 192f5cf0-17b4-479b-8172-8a53544b4ec6 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Vessel detection and classification from spaceborne optical images: A literature survey.Remote sensing of environment, 207:1–26
Reference 17
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Observation d46e22aa-0aba-4349-ba72-c9378263fefa · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Your vit is secretly an image segmentation model
Reference 18
Source-reported events for the cited work
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Observation de2833a6-37a3-4fcd-823c-f71557e2d981 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Real-time radar–vision association via monocular distance estimation
Reference 19
Source-reported events for the cited work
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Observation 39e5f3d7-a3d0-4db0-9ebf-1792a0b09a7e · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Unresolved cited work
Reference 20
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Observation db44f2f4-5380-41d9-9f19-130ab558f817 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
Reference 21
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Observation 72135f86-e46b-4786-a531-e0eb9ba23cc0 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Approx- imate supervised object distance estimation on unmanned surface vehicles
Reference 22
Source-reported events for the cited work
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Observation 4487f3c1-e52f-4fa1-8cf9-90264e369d8d · outbound
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Reference 23
Source-reported events for the cited work
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Observation 3672c30e-8e9a-4655-be4f-8893480b43a2 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview 3rd workshop on maritime computer vision (macvi) 2025: Challenge results
Reference 24
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Observation 07b4bdc1-ba9d-4310-86ce-478b6fa17591 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Panoptic segmentation
Reference 25
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Observation 854ee2ce-01ab-41b5-bfa2-22f3e3222ced · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Real-time fusion of visual and chart data for enhanced maritime vision
Reference 26
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Observation 274ab78f-9437-4a1c-800a-9c2cc98ef09b · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview A novel performance evaluation methodology for single-target trackers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(11):2137– 2155
Reference 27
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Observation 130f549b-2d4d-4569-b8d1-354be88bb11b · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview ROSEBUD: A deep fluvial segmentation dataset for monocular vision-based river navigation and ob- stacle avoidance.Sensors, 22(13):4681
Reference 28
Source-reported events for the cited work
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Observation e14d5c98-53ad-4e52-89b4-5d3aa6ea11ae · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Ni, and Heung-Yeung Shum
Reference 29
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Observation c073a960-bde1-4a7d-a933-df015d084c41 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Exploring plain vision transformer backbones for object de- tection
Reference 30
Source-reported events for the cited work
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Observation 456453ad-319f-468c-82c7-8a329264bd41 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
Reference 31
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Observation 9ff5c172-0dc3-4f84-a809-dbab6d9de30d · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Swin transformer: Hierarchical vision transformer using shifted windows
Reference 32
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Observation 96c48ea1-ac33-4020-9959-af6cbb65bccc · outbound
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Reference 33
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Observation 1b4def2e-0788-4a51-ae5d-7139fa9d417e · outbound
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Reference 34
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Observation 8f312a2a-3d60-4e18-be49-1aa238670821 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Decoupled weight de- cay regularization
Reference 35
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Observation 3c8344f1-d3dc-4bed-8c26-c15691b23a1e · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Unresolved cited work
Reference 36
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Observation 481f64e4-cf5d-4555-a95d-8be06279746e · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview RTMDet: An Empirical Study of Designing Real-Time Object Detectors
Reference 37
Source-reported events for the cited work
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4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Dustnet++: Deep learning-based visual regression for dust density estimation
Reference 38
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Observation 624beba0-9690-4db9-9312-f43a293614be · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Dustnet: Attention to dust
Reference 39
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Observation 7bb78f4c-b44b-4add-96ab-6b576522f9ee · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic segmentation
Reference 40
Source-reported events for the cited work
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Observation 789edec6-c2ed-4694-abb4-922ba046c586 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Dinov2: Learning robust visual features without supervision
Reference 41
Source-reported events for the cited work
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Observation 428a0946-f4b8-4822-bac2-d50940a068dc · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Are object detection assessment criteria ready for maritime computer vision?IEEE Transactions on Intelligent Trans- portation Systems, 21(12):5295–5304
Reference 42
Source-reported events for the cited work
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Observation b94e5f86-0599-4a79-932b-d86a9cfb435e · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Puigcerver, C
Reference 43
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Reference 44
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Observation a3e5ab55-180b-4b23-a54b-ca17041d427c · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview ImageNet-21K Pretraining for the Masses
Reference 45
Source-reported events for the cited work
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Observation e8c4a6b4-e389-4670-afaa-f9282639bd05 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Rf-detr: Neural architecture search for real-time detection transformers
Reference 46
Source-reported events for the cited work
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Observation df3e3d90-f501-428e-b823-74f7b033d9a3 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview DINOv3
Reference 47
Source-reported events for the cited work
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Observation 2e53f635-08cd-4926-9764-cebe4f485f1e · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Weighted boxes fusion: Ensembling boxes from different object detection models.Image and Vision Computing, 107:104117
Reference 48
Source-reported events for the cited work
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Observation 0e04078d-059f-4b92-a870-f4f189ae933f · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Seadronessee: A maritime benchmark for detecting humans in open water
Reference 49
Source-reported events for the cited work
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Observation d8a25a38-5eca-4967-9af0-a417f72d498f · outbound
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Reference 50
Source-reported events for the cited work
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4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Bhattacharyya
Reference 51
Source-reported events for the cited work
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Observation 16c79566-6ac4-4f2a-b6e3-820b3243db28 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Unresolved cited work
Reference 52
Source-reported events for the cited work
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4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Waterscenes: A multi-task 4d radar-camera fusion dataset and benchmarks for autonomous driving on water surfaces.IEEE Transactions on Intelligent Transportation Systems
Reference 53
Source-reported events for the cited work
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Observation 68fd937e-7fde-4974-ba2e-8dd4b9baf23f · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Dino: Detr with improved denoising anchor boxes for end-to-end object detection
Reference 54
Source-reported events for the cited work
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Observation 3bc32312-e868-47f6-bda2-42c27ad20131 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Dense distinct query for end-to-end object detection
Reference 55
Source-reported events for the cited work
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Observation e7c3f6e2-2a98-4324-80ff-940032232bcc · outbound
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Reference 56
Source-reported events for the cited work
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Observation 9c25cf43-914c-4daa-a3b5-8fafff2f0057 · outbound
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Reference 57
Source-reported events for the cited work
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Observation ddc29c85-e74a-465e-ba88-574f699da2c2 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview Learning maritime obstacle detection from weak annotations by scaffolding
Reference 58
Source-reported events for the cited work
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Observation 9dc75e94-6d3c-4804-b1d8-c3a5e43df311 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview PanSR: An Object-Centric Mask Transformer for Panoptic Segmentation
Reference 59
Source-reported events for the cited work
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Observation 7a95ffa1-b99b-484f-a8ab-8f80261ae3e3 · outbound
4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview LaRS: A diverse panoptic maritime obstacle detection dataset and benchmark
Reference 60
Source-reported events for the cited work
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No inbound Pith citation observations are available.