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Generative Adversarial Networks for Video-to-Video Domain Adaptation

Generative Adversarial Networks for Video-to-Video Domain Adaptation

17 April 2020
Jiawei Chen
Yuexiang Li
Kai Ma
Yefeng Zheng
    GAN
    VGen
    MedIm
ArXivPDFHTML

Papers citing "Generative Adversarial Networks for Video-to-Video Domain Adaptation"

5 / 5 papers shown
Title
Deep Neural Networks in Video Human Action Recognition: A Review
Deep Neural Networks in Video Human Action Recognition: A Review
Zihan Wang
Yang Yang
Zhi Liu
Y. Zheng
51
4
0
25 May 2023
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
Sascha Kirch
Rafael Pagés
Sergio Arnaldo
S. Martín
GAN
19
2
0
19 Jul 2022
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient
  Approach to Multi-Modality Medical Image Segmentation
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation
Cheng Bian
Chenglang Yuan
Kai Ma
Shuang Yu
Dong Wei
Yefeng Zheng
VLM
MedIm
8
31
0
19 Mar 2022
Unsupervised Domain Adaptation for Video Semantic Segmentation
Unsupervised Domain Adaptation for Video Semantic Segmentation
Inkyu Shin
Kwanyong Park
Sanghyun Woo
In So Kweon
11
10
0
23 Jul 2021
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
440
15,637
0
02 Nov 2015
1