Cited by 66Advanced Neural Network ApplicationsAdvanced Vision and ImagingAdvanced Image and Video Retrieval Techniques

The DOI matches its Crossref record.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IV

Vittorio Ferrari, Bob Fisher, Cordelia Schmid, Emanuele Trucco·2020·Lecture Notes in Computer Science

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-030-58548-8

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Few articles applying a diversity sampling strategy exclusively were identified.

    “Afew articles [16,78] applying a diversity sampling strategy exclusively were identified.”
  • The most advanced companies and research centres in AI are interested in continuing research around active learning and exploring its potential benefits further.

    “On the other hand, the most advanced companies and research centres in the field of AI are also interested in continuing research around AL and exploring its potential benefits further [14,36,50,59,78].”

Citations

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Metadata

Authors
Ferrari, V., Fisher, B., Schmid, C., & Trucco, E.
Venue
Lecture Notes in Computer Science
Published
2020
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W4236219683
Cited by
66
References
0
Citations by year
2026: 4 · 2025: 26 · 2024: 11 · 2023: 10 · 2022: 13 · 2021: 2
FWCI
1.93
Type
conference paper
Language
en
Open access
closed
Locations
  • Lecture notes in computer science (publishedVersion)
  • Discovery Research Portal (University of Dundee) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
Keywords
computer vision, object recognition, object detection, image processing, 3D reconstruction, computational photography, image reconstruction, motion estimation, deep neural network, machine learning

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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