GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation-Reference-Cited by-同舟云学术

GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

He Xingzhe¹,Wandt Bastian¹,Rhodin Helge¹

Affiliation:

1. University of British Columbia

Funder

UBC Advanced Research Computing

Compute Canada GPU servers

Huawei-UBC Joint Lab project

Publisher

IEEE

Link

Reference67 articles.

5. Self-supervised single-view 3d reconstruction via semantic consistency;li;European Conference on Computer Vision,2020

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. Unsupervised Camouflaged Object Segmentation as Domain Adaptation;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

4. Few-Shot Geometry-Aware Keypoint Localization;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. LatentKeypointGAN: Controlling Images via Latent Keypoints;2023 20th Conference on Robots and Vision (CRV);2023-06