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EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation

EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation

Shiqiang Ma
Xia Li
Jijun Tang
Fei Guo
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Papers citing "EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation"

6 / 6 papers shown
Title
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data
Haoyuan Chen
Yufei Han
Pin Xu
Yanyi Li
Kuan Li
Jianping Yin
26
0
0
07 Sep 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Image Inpainting with External-internal Learning and Monochromic Bottleneck
Image Inpainting with External-internal Learning and Monochromic Bottleneck
Tengfei Wang
Hao Ouyang
Qifeng Chen
49
55
0
19 Apr 2021
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Wenbo Li
Xin Tao
Taian Guo
Lu Qi
Jiangbo Lu
Jiaya Jia
SupR
131
136
0
23 Jul 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015