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TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D
  Segmentation using Sparse and Binary Convolutions

TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions

29 January 2018
M. Heinrich
Maximilian Blendowski
Ozan Oktay
    MedIm
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Papers citing "TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions"

2 / 2 papers shown
Title
Quantized Embedding Vectors for Controllable Diffusion Language Models
Quantized Embedding Vectors for Controllable Diffusion Language Models
Cheng Kang
Xinye Chen
Yong Hu
Daniel Novak
23
0
0
15 Feb 2024
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
15
200
0
15 Feb 2019
1