Learning Rich Features from RGB-D Images for Object Detection and Segmentation
University of California, Berkeley · University of California System · +2 more institutions
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Abstract
No abstract available for this paper.
Citation impact
1,531
total citations
- FWCI
- 107.27
- Percentile
- 100%
- References
- 37
Citations per year
Authors
4- SGSaurabh GuptaCorresponding
University of California, Berkeley, University of California System
- RGRoss Girshick
University of California, Berkeley, University of California System
- PAPablo Arbeláez
University of California System, Universidad de Los Andes, University of California, Berkeley, Universidad de Los Andes
- JMJitendra Malik
University of California System, University of California, Berkeley
Topics & keywords
Topics
Keywords
- Artificial intelligence
- Computer science
- Computer vision
- Object detection
- Pixel
- Segmentation
- Embedding
- Convolutional neural network
UN Sustainable Development Goals
- Life in Land
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