End-to-End Training of Object Class Detectors for Mean Average Precision
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Learning based NMS is a recent group of NMS improvements.
“A recent group of NMS improvements that have recently received much attention is learning based NMS [85, 93, 109-111, 122].”
From Object Detection in 20 Years: A Survey (2023) · cites this paper as [109]
The Introduction describes end-to-end learning of an object detector with NMS included during training, supporting its use as an example of a learning-based approach involving NMS. But §2.1 describes a fixed suppression procedure, and the paper does not say that it learns or improves the NMS procedure itself; the ‘learning-based NMS improvements’ characterization is therefore broader than this source supports. (LLM, conf=0.82)
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Cited by
Sorted by citations
Object Detection in 20 Years: A Survey
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“Learning-Based NMS: A recent group of NMS improvements that have recently received much attention is learning-based NMS [85], [93], [109], [110], [111], [122].”
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- Authors
- Henderson, P., & Ferrari, V.
- Affiliations
- University of Edinburgh (GB)
- Corresponding author
- Henderson, Paul
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 198-213
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2514087538
- Cited by
- 373
- References
- 30
- Citations by year
- 2026: 26 · 2025: 76 · 2024: 71 · 2023: 45 · 2022: 54 · 2021: 45 · 2020: 25 · 2019: 18 · 2018: 7 · 2017: 5 · 2016: 1
- FWCI
- 4.40
- Type
- conference paper
- Language
- en
- Open access
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- 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 › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Keywords
- object class detection, mean average precision, end-to-end learning, non-maximum suppression, training loss, piecewise constant functions, gradient computation, Fast R-CNN, Pascal VOC
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