Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:49:08.731892Z
Paper Citation Record · LEDGER
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild
As of 17 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2412.16147.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
Reference resolution
53 of 53 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1480c922-94df-43a6-bda2-e4c6962ca911 · outbound
This paper cites Seagrass classification using unsupervised curriculum learning (ucl).
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Seagrass classification using unsupervised curriculum learning (ucl)
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 85fe2b43-f709-41ba-a86c-9beb7d8ce760 · outbound
This paper cites Sources of uncertainty in estimation of eelgrass depth limits.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Sources of uncertainty in estimation of eelgrass depth limits
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f951c357-bb1d-4484-8203-4010417da3ed · outbound
This paper cites Towards visual detection, mapping and quantification of posidonia oceanica using a lightweight auv.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Towards visual detection, mapping and quantification of posidonia oceanica using a lightweight auv
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c12aec64-9763-47cf-abd6-d0ffef94f326 · outbound
This paper cites AU Ecoscience - Marint fagdatacenters gældende tekniske anvisninger, 2013.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild AU Ecoscience - Marint fagdatacenters gældende tekniske anvisninger, 2013
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 824b840b-539c-4bf6-8776-0bd8af792a3e · outbound
This paper cites Segmentation through patch classification: A neural network approach to detect posidonia oceanica in underwater images.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Segmentation through patch classification: A neural network approach to detect posidonia oceanica in underwater images
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 43f1e886-7b5d-48d4-8754-c158f431a2e7 · outbound
This paper cites Seagrass meadows globally as a coupled social-ecological system: Implications for human wellbeing.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Seagrass meadows globally as a coupled social-ecological system: Implications for human wellbeing
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7338e778-effc-410b-bccc-29d4da3f5420 · outbound
This paper cites Dhi - we enable a sustainable future for water, October 2023.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Dhi - we enable a sustainable future for water, October 2023
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0b85dc4d-a556-4665-b69d-fc3f0a0074d7 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 255aaec6-39c2-4901-869e-0757cd098e24 · outbound
This paper cites Seagrass ecosystems as a globally significant carbon stock.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Seagrass ecosystems as a globally significant carbon stock
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 25f78ff8-6e61-4c95-b2b3-f06fdb2f769c · outbound
This paper cites Animal diet in texas seagrass meadows: 13c evidence for the importance of benthic plants.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Animal diet in texas seagrass meadows: 13c evidence for the importance of benthic plants
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 27ea0778-cd35-402f-b806-1d0f9e028daf · outbound
This paper cites Deep residual learning for image recognition.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Deep residual learning for image recognition
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36cae471-5de8-460a-bb50-8e8087beec79 · outbound
This paper cites Seagrass ecology.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Seagrass ecology
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e3f1c279-d2cb-407f-946d-cd7071be7844 · outbound
This paper cites Densely connected convolutional networks.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Densely connected convolutional networks
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bffed40-6757-4e5e-a06c-959b0107990e · outbound
This paper cites Source matters: Source dataset impact on model robustness in medical imaging.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Source matters: Source dataset impact on model robustness in medical imaging
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 30446c74-f00d-4ee3-b15f-5ba161c1262b · outbound
This paper cites Transfer learning for medical image classification: a literature review.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Transfer learning for medical image classification: a literature review
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f516d094-33b8-4001-bef2-85b814762a32 · outbound
This paper cites Imagenet classification with deep convolutional neural networks.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Imagenet classification with deep convolutional neural networks
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3083ddba-e119-49d8-b72f-04e6adac92d0 · outbound
This paper cites Verified uncertainty calibration.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Verified uncertainty calibration
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f13da134-69ff-4bd3-b996-b891860547e4 · outbound
This paper cites The measurement of observer agreement for categorical data.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild The measurement of observer agreement for categorical data
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:09.120335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fcee9c9a-c670-40f7-b0a4-f78231cdb094 · outbound
This paper cites Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 626d3782-979e-4fb5-aeb1-18775a443e31 · outbound
This paper cites Metrics reloaded: recommendations for image analysis validation.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Metrics reloaded: recommendations for image analysis validation
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a05009bb-3e68-405e-9fcb-29437af12688 · outbound
This paper cites Deep semantic segmentation in an auv for online posidonia oceanica meadows identification.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Deep semantic segmentation in an auv for online posidonia oceanica meadows identification
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4e491f3e-3199-4ace-9327-c8407135c4c6 · outbound
This paper cites Imaging and Classification Techniques for Seagrass Mapping and Monitoring: A Comprehensive Survey.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Imaging and Classification Techniques for Seagrass Mapping and Monitoring: A Comprehensive Survey
Reference 22
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b7cdeeb4-ee99-4179-88f0-a4f35de12f87 · outbound
This paper cites Faster r-cnn based deep learning for seagrass detection from underwater digital images.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Faster r-cnn based deep learning for seagrass detection from underwater digital images
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 887fef7a-8ce4-4901-bc30-158adef438d0 · outbound
This paper cites Multi-species seagrass detection using semi-supervised learning.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Multi-species seagrass detection using semi-supervised learning
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 71ca06a8-8409-405e-b255-872cefaffc7a · outbound
This paper cites Improving accuracy and efficiency in seagrass detection using state-of-the-art ai techniques.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Improving accuracy and efficiency in seagrass detection using state-of-the-art ai techniques
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 62154163-5d9f-4106-a895-ef34b2865a8c · outbound
This paper cites Submerged aquatic vegetation: seagrasses.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Submerged aquatic vegetation: seagrasses
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7eb12673-05d4-4639-8948-b914b116de6b · outbound
This paper cites A global crisis for seagrass ecosystems.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild A global crisis for seagrass ecosystems
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6feea681-30c2-4f3f-9cad-ffb83b44cb91 · outbound
This paper cites Pytorch: An imperative style, high-performance deep learning library.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Pytorch: An imperative style, high-performance deep learning library
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c365ba2-6c22-412d-b34d-33110754d8d9 · outbound
This paper cites Multi-species seagrass detection and classification from underwater images.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Multi-species seagrass detection and classification from underwater images
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fe93f871-9374-4583-8872-1a385bd1e549 · outbound
This paper cites Image labels are all you need for coarse seagrass segmentation.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Image labels are all you need for coarse seagrass segmentation
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e6433b93-3680-4cd8-a969-4370561cd89f · outbound
This paper cites o ller, Jonas J \.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild o ller, Jonas J \
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9c4a536a-9c70-47f9-b08a-3f43eb319ba3 · outbound
This paper cites Detection of shallow subtidal corals from ikonos satellite and qtc view (50, 200 khz) single-beam sonar data (arabian gulf; dubai, uae).
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Detection of shallow subtidal corals from ikonos satellite and qtc view (50, 200 khz) single-beam sonar data (arabian gulf; dubai, uae)
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2e7e4aa7-4ae6-4cb0-82d5-ebe0ec92cb88 · outbound
This paper cites Field data sets for seagrass biophysical properties for the eastern banks, moreton bay, australia, 2004--2014.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Field data sets for seagrass biophysical properties for the eastern banks, moreton bay, australia, 2004--2014
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c36ca8de-afe6-4a0a-bb3d-96e79b833959 · outbound
This paper cites Autonomous boundary inspection of posidonia oceanica meadows using an underwater robot.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Autonomous boundary inspection of posidonia oceanica meadows using an underwater robot
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5bdd143e-2980-499a-965e-90bbbfc8eff9 · outbound
This paper cites Imagenet large scale visual recognition challenge.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Imagenet large scale visual recognition challenge
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 914cb5dd-81ca-4f8a-911f-ebf6e7c67350 · outbound
This paper cites Seagrassdetect: A novel method for the detection of seagrass from unlabelled underwater videos.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Seagrassdetect: A novel method for the detection of seagrass from unlabelled underwater videos
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9672f306-239b-4a80-9ce0-1787a59a3f33 · outbound
This paper cites Wavelength-based attributed deep neural network for underwater image restoration.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Wavelength-based attributed deep neural network for underwater image restoration
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0289d14e-c236-40c6-8f8e-71fc7e7908bb · outbound
This paper cites Global seagrass research methods.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Global seagrass research methods
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f52756e1-0982-4661-8bf2-665c63493886 · outbound
This paper cites Seagrassnet manual for scientific monitoring of seagrass habitat.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Seagrassnet manual for scientific monitoring of seagrass habitat
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:08.930318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c1de3111-c2bf-4c91-bbab-a069b091fc2e · outbound
This paper cites An overview of the tesseract ocr engine.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild An overview of the tesseract ocr engine
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 87080b09-7329-4051-81fd-21c6c03c605f · outbound
This paper cites Rethinking the inception architecture for computer vision.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Rethinking the inception architecture for computer vision
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9658ada3-4b07-4c28-ba5c-babb98709a40 · outbound
This paper cites Large-scale benchmarking and boosting transfer learning for medical image analysis.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Large-scale benchmarking and boosting transfer learning for medical image analysis
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:08.902577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 26e6db50-2cfe-4962-9e9a-3d0e5928e484 · outbound
This paper cites Comparison of vision transformers and convolutional neural networks in medical image analysis: a systematic review.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Comparison of vision transformers and convolutional neural networks in medical image analysis: a systematic review
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:08.892458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e0fc99e0-fa2f-4980-b39f-e038d337f5ff · outbound
This paper cites A survey on deep transfer learning.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild A survey on deep transfer learning
Reference 44
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bd94613-b4b9-40e1-b219-73e8c0fa94a5 · outbound
This paper cites Training data-efficient image transformers & distillation through attention.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Training data-efficient image transformers & distillation through attention
Reference 45
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e18193e-ea83-481a-832b-a0ebe12711fd · outbound
This paper cites Global challenges for seagrass conservation.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Global challenges for seagrass conservation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:08.870376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 101d602c-8291-4b33-b9ed-1266f922af44 · outbound
This paper cites Seagrass meadows support global fisheries production.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Seagrass meadows support global fisheries production
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:08.860018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3b3373b7-343f-4902-9b23-bb82251580d9 · outbound
This paper cites Opportunities for seagrass research derived from remote sensing: A review of current methods.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Opportunities for seagrass research derived from remote sensing: A review of current methods
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:08.848392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ba6ad5ff-d7dd-49c4-b2ee-802621029d18 · outbound
This paper cites Real-time and embedded compact deep neural networks for seagrass monitoring.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Real-time and embedded compact deep neural networks for seagrass monitoring
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:08.837465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b133d3a8-d1bb-4a24-8a3f-223d55e47979 · outbound
This paper cites Compact and fast underwater segmentation network for autonomous underwater vehicles.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Compact and fast underwater segmentation network for autonomous underwater vehicles
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:08.826592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 60b25e8d-bb24-454d-bdbf-856a89c776db · outbound
This paper cites Accelerating loss of seagrasses across the globe threatens coastal ecosystems.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Accelerating loss of seagrasses across the globe threatens coastal ecosystems
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:08.816396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 90b984b6-a269-4df1-a341-7c619885d09b · outbound
This paper cites A closer look at seagrass meadows: Semantic segmentation for visual coverage estimation.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild A closer look at seagrass meadows: Semantic segmentation for visual coverage estimation
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:49:08.805177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7829fd22-d9ce-4151-8c69-e131a71dd2c6 · outbound
This paper cites A review of convolutional neural networks in computer vision.
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild A review of convolutional neural networks in computer vision
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:49:08.731892Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.