The DOI matches its Crossref record.
Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IV
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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.”
From Ten Years of Active Learning Techniques and Object Detection: A Systematic Review (2023) · cites this paper as [78]
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].”
From Ten Years of Active Learning Techniques and Object Detection: A Systematic Review (2023) · cites this paper as [78]
Citations
Cited by
Sorted by citations
Ten Years of Active Learning Techniques and Object Detection: A Systematic Review
Garcia, D., Carias, J., Adão, T., Jesus, R., Cunha, A., & Magalhães, L. G. (2023) · Applied Sciences · doi:10.3390/app131910667 · Cited by 17
Metadata
- Authors
- Ferrari, V., Fisher, B., Schmid, C., & Trucco, E.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- 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
- Licence
- 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.
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