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Learning to Localize Objects with Structured Output Regression
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Multi-scale volumes for deep object detection and localization
Ohn-Bar, E., & Trivedi, M. M. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.06.002 · Cited by 40
Advanced Structured Prediction
Nowozin, S. (2014) · The MIT Press eBooks · doi:10.7551/mitpress/9969.001.0001 · Cited by 43
Self-citation
Metadata
- Authors
- Blaschko, M. B., & Lampert, C. H.
- Affiliations
- Max Planck Institute for Biological Cybernetics (DE)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008
- Volume
- 5302
- Pages
- 2-15
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1525954826
- Cited by
- 324
- References
- 26
- Citations by year
- 2025: 7 · 2024: 6 · 2023: 8 · 2022: 7 · 2021: 11 · 2020: 5 · 2019: 16 · 2018: 17 · 2017: 22 · 2016: 27 · 2015: 35 · 2014: 31 · 2013: 27 · 2012: 22
- FWCI
- 22.16
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Lecture notes in computer science
- Funders
- Technische Universität Darmstadt
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- object localization, bounding box regression, branch and bound, structured training, support vector machine, Pascal VOC
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