High performance digit recognition in real car environments
By Umit Yapanel, Xianxian Zhang, John H. L. Hansen. 2002
21 citations recorded by the source corpus.
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Subfields: Computer Vision and Pattern Recognition, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Andrew Zisserman
- Arsha Nagrani
- Andrea Vedaldi
- Luc Van Gool
- Kristen Grauman
- Cordelia Schmid
- Xiaogang Wang
- Jitendra Malik
In Signal Processing
- Andrew Zisserman
- Arsha Nagrani
- Joon Son Chung
- Andrea Vedaldi
- Weidi Xie
- Honglie Chen
- Triantafyllos Afouras
- Samuel Albanie
Citations in the corpus
- Voxceleb: Large-scale speaker verification in the wild (2020, background): “It is inspired by the relation networks and their use in face comparisons (Santoro et al., 2017; Xie et al., 2018).”
- Vggsound: A Large-Scale Audio-Visual Dataset (2020, background): “However, the performance of MFCCs in audio recognition degrades rapidly in “unconstrained” environments that include real-world noise [25, 26].”