ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.01036
  4. Cited By
GANSeg: Learning to Segment by Unsupervised Hierarchical Image
  Generation

GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation

2 December 2021
Xingzhe He
Bastian Wandt
Helge Rhodin
    GAN
ArXivPDFHTML

Papers citing "GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation"

5 / 5 papers shown
Title
PaintSeg: Training-free Segmentation via Painting
PaintSeg: Training-free Segmentation via Painting
Xiang Li
Chung-Ching Lin
Yinpeng Chen
Zicheng Liu
Jinglu Wang
Bhiksha Raj
32
5
0
30 May 2023
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
J. C. V. Gemert
195
232
0
16 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode?
How Much Position Information Do Convolutional Neural Networks Encode?
Md. Amirul Islam
Sen Jia
Neil D. B. Bruce
SSL
197
344
0
22 Jan 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,344
0
12 Dec 2018
DensePose: Dense Human Pose Estimation In The Wild
DensePose: Dense Human Pose Estimation In The Wild
R. Güler
Natalia Neverova
Iasonas Kokkinos
3DH
177
1,386
0
01 Feb 2018
1