Evidence map›Paper›PMID 39131580›Full record

ArticleACM transactions on applied perception2023

Twin Identification over Viewpoint Change: A Deep Convolutional Neural Network Surpasses Humans.

Connor J Parde, Virginia E Strehle, Vivekjyoti Banerjee, Ying Hu, Jacqueline G Cavazos, Carlos D Castillo, Alice J O'Toole

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACM transactions on applied perception, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Connor J PardeSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, USA.
Virginia E StrehleSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, USA.
Vivekjyoti BanerjeeUniversity of Maryland Institute of Advanced Computer Studies, University of Maryland, USA.
Ying HuSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, USA.
Jacqueline G CavazosSchool of Education, University of California Irvine, USA.
Carlos D CastilloWhiting School of Engineering, Johns Hopkins University, USA.
Alice J O'TooleSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, USA.

Funding

Human Face Representation in Deep Convolutional Neural NetworksR01EY029692 · NEI · UNIVERSITY OF TEXAS DALLAS · PI O'TOOLE, ALICE J · 2019 to 2022
$1.5M
NEI NIH HHS R01 EY029692
6 · The paper itself

Abstract

Deep convolutional neural networks (DCNNs) have achieved human-level accuracy in face identification (Phillips et al., 2018), though it is unclear how accurately they discriminate highly-similar faces. Here, humans and a DCNN performed a challenging face-identity matching task that included identical twins. Participants (

Indexed as

deep convolutional neural networkFace recognitionhuman face recognitionhuman-machine comparison

Identifiers

PMID39131580
PMCPMC11315461

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.