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Found 4 papers, 2 papers with code
Tuning of Mixture-of-Experts Mixed-Precision Neural Networks
This work adds new data types (quantized 16-bit and 8-bit integer, 16-bit floating point) to Caffe in order to save memory and increase inference speed on existing commodity graphics processors with OpenCL, common in everyday devices.
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration
The field of connectomics has recently produced neuron wiring diagrams from relatively large brain regions from multiple animals.
Robust Large-Scale Localization in 3D Point Clouds Revisited
We tackle the problem of getting a full 6-DOF pose estimation of a query image inside a given point cloud.
Efficient Convolutional Neural Networks for Pixelwise Classification on Heterogeneous Hardware Systems
The Caffe library has been extended by new layers and a new backend for availability on a wider range of hardware such as CPUs and GPUs through OpenCL.
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