30Hz Object Detection with DPM V5
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Only 30Hz DPM actually runs in real-time among many research efforts to speed up DPM.
“However, only 30Hz DPM [31] actually runs in real-time.”
From You Only Look Once: Unified, Real-Time Object Detection (2016) · cites this paper as [31]
Cites
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584 · see citing works
Approximate nearest neighbors: towards removing the curse of dimensionality
Indyk, P., & Motwani, R. (1998) · Proceedings of the thirtieth annual ACM symposium on Theory of computing - STOC '98 · doi:10.1145/276698.276876 · Cited by 4,188 · see citing works
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You Only Look Once: Unified, Real-Time Object Detection
Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803 · see citing works
“Real-Time Detectors Train mAP FPS 100Hz DPM [30] 2007 16.”
BackgroundMethodInfluentialObject Detection in 20 Years: A Survey
Zou, Z., Chen, K., Shi, Z., Guo, Y., & Ye, J. (2023) · Proceedings of the IEEE · doi:10.1109/jproc.2023.3238524 · Cited by 3,689 · see citing works
“v5 [37], RCNN [16], SPPNet [17], Fast RCNN [18], Faster RCNN [19],”
LMNet: Real-time Multiclass Object Detection on CPU Using 3D LiDAR
Minemura, K., Liau, H., Monrroy, A., & Kato, S. (2018) · 2018 3rd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) · doi:10.1109/acirs.2018.8467245 · Cited by 64 · see citing works
- Authors
- Sadeghi, M. A., & Forsyth, D.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2014
- Pages
- 65-79
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W124653583
- Cited by
- 107
- References
- 2
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 5 · 2022: 6 · 2021: 4 · 2020: 9 · 2019: 10 · 2018: 14 · 2017: 10 · 2016: 20 · 2015: 14 · 2014: 5
- FWCI
- 8.78
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (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 Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- deformable part models, real-time object detection, speed-accuracy trade-off, vector quantization, hierarchical vector quantization, histogram of oriented gradients, object proposals, priority queues, GPU acceleration
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.
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