Is Faster R-CNN Doing Well for Pedestrian Detection?
Sun Yat-sen University · Microsoft Research Asia (China)
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Abstract
No abstract available for this paper.
Citation impact
864
total citations
- FWCI
- 46.17
- Percentile
- 100%
- References
- 36
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Authors
4- LZLiliang ZhangCorresponding
Sun Yat-sen University
- LLLiang Lin
Sun Yat-sen University
- XLXiaodan Liang
Sun Yat-sen University
- KHKaiming He
Microsoft Research Asia (China)
Topics & keywords
Topics
Keywords
- Pedestrian detection
- Computer science
- Pedestrian
- Object detection
- Artificial intelligence
- Detector
- Convolutional neural network
- Classifier (UML)
UN Sustainable Development Goals
- Life in Land
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