Towards Unified Object Detection and Semantic Segmentation
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Fast and Faster R-CNN still fall short of real-time performance.
“While they offer speed and accuracy improvements over R-CNN, both still fall short of real-time performance.”
From You Only Look Once: Unified, Real-Time Object Detection (2016) · cites this paper as [28]
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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
“2 NUS NIN C2000 [7] 63.”
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Deep learning for visual understanding: A review
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Conditional Random Fields as Recurrent Neural Networks
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“NUS-UDS [16] n/a n/a 50.”
Hypercolumns for object segmentation and fine-grained localization
Hariharan, B., Arbelaez, P., Girshick, R., & Malik, J. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298642 · Cited by 1,511 · see citing works
Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model
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A survey towards an integration of big data analytics to big insights for value-creation
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Object Detection Networks on Convolutional Feature Maps
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Contextual Priming and Feedback for Faster R-CNN
Shrivastava, A., & Gupta, A. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46448-0_20 · Cited by 153 · see citing works
Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns
Hariharan, B., Arbelaez, P., Girshick, R., & Malik, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2578328 · Cited by 102 · see citing works
- Authors
- Dong, J., Chen, Q., Yan, S., & Yuille, A.
- Affiliations
- National University of Singapore (SG)
- University of California, Los Angeles (US)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2014
- Pages
- 299-314
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W95258188
- Cited by
- 70
- References
- 46
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 7 · 2022: 5 · 2021: 4 · 2020: 2 · 2019: 6 · 2018: 7 · 2017: 6 · 2016: 12 · 2015: 14 · 2014: 1
- FWCI
- 5.91
- Type
- conference paper
- Language
- en
- Open access
- closed
- 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 › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- unified framework, local and global context, Pascal VOC
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