CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
Recent results indicate that the generic descriptors ex-tracted from the convolutional neural networks are very powerful. This paper adds to the mounting evidence that this is i...
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Recent results indicate that the generic descriptors ex-tracted from the convolutional neural networks are very powerful. This paper adds to the mounting evidence that this is i...
Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality. To...
The Delphi technique is a widely used and accepted method for gathering data from respondents within their domain of expertise. The technique is designed as a group communicatio...
We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the convolutional layers adopted from VGG 16-layer ne...
Abstract Every few years, a new material with unique properties emerges and fascinates the scientific community, typical recent examples being high‐temperature superconductors a...
These recommendations are based on the following: (1) a formal review and analysis of the recently published world literature on the topic [Medline search up to June 2011]; (2) ...
The global impact of COVID-19 has been profound, and the public health threat it represents is the most serious seen in a respiratory virus since the 1918 H1N1 influenza pandemi...
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors ac...