Fully Convolutional Networks for Semantic Segmentation is a research paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence (2017). On theSindex it has a DataRank of 1.4. It has been cited 11,011 times.
Scored on demand from live citation data
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Base Score Contribution
1.4
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →US National Science Foundation
Grant: IIS-1427425
US National Science Foundation
Grant: IIS-1212798
US National Science Foundation
Grant: IIS-1116411
National Science Foundation
Grant: 1427425
NRI: Collaborative Research: Shall I Touch This?: Navigating the Look and Feel of Complex Surfaces
National Science Foundation
Grant: 1116411
RI: Small: Hierarchical Probabilistic Layers for Visual Recognition of Complex Objects
National Science Foundation
Grant: 1212798
RI: Large: Collaborative Research: Reconstructive recognition: Uniting statistical scene understanding and physics-based visual reasoning
IU
DARPA's MSEE
GRFP
SIFT
GPU
Berkeley Vision and Learning Center
SMISC
NSF
NVIDIA
Toyota
FWCI
496.93
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords