Learning efficient object detection models with knowledge distillation
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This map shows the geographic impact of Learning efficient object detection models with knowledge distillation. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Learning efficient object detection models with knowledge distillation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Learning efficient object detection models with knowledge distillation more than expected).
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This network shows the impact of Learning efficient object detection models with knowledge distillation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Learning efficient object detection models with knowledge distillation.
About Learning efficient object detection models with knowledge distillation
This paper, published in 2017, received 411 indexed citations . Written by Guobin Chen, Wongun Choi, Yu Xiang, Tony Xiao Han and Manmohan Chandraker covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (309 citations), Artificial Intelligence (195 citations) and Aerospace Engineering (37 citations).
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This paper is also available at doi.org/w42284160.