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A Deeper Look at Dataset Bias
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Metadata
- Authors
- Tommasi, T., Patricia, N., Caputo, B., & Tuytelaars, T.
- Affiliations
- Sapienza University of Rome (IT)
- École Polytechnique Fédérale de Lausanne (CH)
- IMEC (BE)
- Corresponding author
- Tommasi, Tatiana
- Venue
- Advances in Computer Vision and Pattern Recognition
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 37-55
- ISSN
- 2191-6586 (ISSN-L)
- 2191-6594
- OpenAlex
- W2757251151
- Cited by
- 245
- References
- 0
- Citations by year
- 2026: 7 · 2025: 16 · 2024: 24 · 2023: 35 · 2022: 38 · 2021: 43 · 2020: 32 · 2019: 37 · 2018: 11 · 2017: 2
- FWCI
- 46.72
- Type
- book chapter
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Advances in computer vision and pattern recognition (publishedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- PORTO@Iris (submittedVersion)
- Lirias (KU Leuven) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Keywords
- data bias, cross-dataset generalization, convolutional neural network features, image database, data alignment, image descriptors
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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