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

19 August 2022

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 Haoyuan Chen Yufei Han Pin Xu Yanyi Li Kuan Li Jianping Yin 26 0 0 07 Sep 2023
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 Tengfei Wang Hao Ouyang Qifeng Chen 49 55 0 19 Apr 2021
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 Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,637 0 02 Nov 2015