Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding

A Kendall, V Badrinarayanan, R Cipolla - arXiv preprint arXiv:1511.02680, 2015 - arxiv.org
We present a deep learning framework for probabilistic pixel-wise semantic segmentation,
which we term Bayesian SegNet. Semantic segmentation is an important tool for visual …
被引用次数：1383 相关文章 HTML 版
[PDF] researchgate.net

[PDF][PDF] Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

A Kendall, V Badrinarayanan, R Cipolla - researchgate.net
We present a novel deep learning framework for probabilistic pixel-wise semantic
segmentation, which we term Bayesian SegNet. Pixel-wise semantic segmentation is an …

Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding

A Kendall, V Badrinarayanan, R Cipolla - 2017 - repository.cam.ac.uk
We present a deep learning framework for probabilistic pixel-wise semantic segmentation,
which we term Bayesian SegNet. Semantic segmentation is an important tool for visual …

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

A Kendall, V Badrinarayanan, R Cipolla - arXiv e-prints, 2015 - ui.adsabs.harvard.edu
We present a deep learning framework for probabilistic pixel-wise semantic segmentation,
which we term Bayesian SegNet. Semantic segmentation is an important tool for visual …

[引用][C] Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

A Kendall, V Badrinarayanan, R Cipolla - Procedings of the British …, 2017 - cir.nii.ac.jp
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures
for Scene Understanding | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] …
[PDF] core.ac.uk

[PDF][PDF] Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

A Kendall, V Badrinarayanan, R Cipolla, M Leap - core.ac.uk
We present a deep learning framework for probabilistic pixel-wise semantic segmentation,
which we term Bayesian SegNet. Semantic segmentation is an important tool for visual …

[引用][C] Bayesian SegNet: Model uncertainty in deep convolutional encoder‐decoder architectures for scene understanding

A Kendall - Computing Research Repository, 2015 - cir.nii.ac.jp
Bayesian SegNet: Model uncertainty in deep convolutional encoder‐decoder architectures for
scene understanding | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細 …
[PDF] researchgate.net

[PDF][PDF] Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

A Kendall, V Badrinarayanan, R Cipolla, M Leap - researchgate.net
We present a deep learning framework for probabilistic pixel-wise semantic segmentation,
which we term Bayesian SegNet. Semantic segmentation is an important tool for visual …