Evidence map›Paper›PMID 41227431›Full record

ArticleAnimals : an open access journal from MDPI2025

Hierarchical Dual-Model Detection Framework for Spotted Seals Using Deep Learning on UAVs.

Jun Liu, Fengxiang Jin, Min Ji, Liang Qu, Juan Wang, Chen Wang

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jun LiuCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0009-0002-3733-8833
Fengxiang JinCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China.
Min JiCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0009-0004-5554-5494
Liang QuNorth China Sea Ecological Center of the Ministry of Natural Resources, Qingdao 266033, China.
Juan WangNorth China Sea Ecological Center of the Ministry of Natural Resources, Qingdao 266033, China.
Chen WangCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China.

Funding

The Open Fund Project of Key Laboratory of Bohai Sea Ecological Early Warning and Protection and Restoration, Ministry of Natural Resources SKDZK20230464
6 · The paper itself

Abstract

This study introduces a hierarchical dual-model detection framework for accurately monitoring spotted seals (

Indexed as

dual-model architecturehierarchical object detectionPhoca larghasmall-object recognitionUnmanned Aerial Vehicle

Identifiers

PMID41227431
PMCPMC12608872

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.