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CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention
  Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor
  Segmentation

CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation

8 July 2021
Andre Liew
C. Lee
B. Lan
Maxine Tan
ArXivPDFHTML

Papers citing "CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation"

3 / 3 papers shown
Title
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
226
968
0
13 Dec 2020
Modality-Pairing Learning for Brain Tumor Segmentation
Modality-Pairing Learning for Brain Tumor Segmentation
Yixin Wang
Yao Zhang
Feng Hou
Yang Liu
Jiang Tian
Cheng Zhong
Yang Zhang
Zhiqiang He
61
66
0
19 Oct 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
161
792
0
27 May 2015
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