The changing fortunes of pattern recognition and computer vision
Integrity signals
Registry
Cites
Statistics
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?
DCNNs are inherently limited by the lack of ability to be spatially invariant to geometric transformations of the input data.
“DCNNs are inherently limited by the lack of ability to be spatially invariant to geometric transformations of the input data (Lenc and Vedaldi 2018;Liu et al. 2017;Chellappa 2016).”
From Deep Learning for Generic Object Detection: A Survey (2020) · cites this paper as Chellappa 2016
The citation lists haven’t been fetched yet
References 32 · Cited by 8
- Authors
- Chellappa, R.
- Affiliations
- University of Maryland, College Park (US)
- Corresponding author
- Chellappa, Rama
- ORCID
- Chellappa, Rama
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 55
- Pages
- 3-5
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2340946984
- Cited by
- 8
- References
- 32
- Citations by year
- 2021: 3 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 1
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Image and Vision Computing (publishedVersion)
- 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
- pattern recognition, computer vision, deep learning, research trends, 3D scene understanding, image formation, light-matter interaction, human vision, commonsense reasoning
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 ›
Are you an author, or do you see a problem with this page? Request a review
