Regularizing Proxies with Multi-Adversarial Training for Unsupervised
Domain-Adaptive Semantic Segmentation

Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation

29 July 2019

Chunhua Shen

Tao Mei

Papers citing "Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation"

8 / 8 papers shown

Title
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation Tianyu Li Subhankar Roy Huayi Zhou Hongtao Lu Stéphane Lathuilière 27 12 0 15 Jun 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 35 50 0 13 Feb 2023
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey G. Csurka Riccardo Volpi Boris Chidlovskii OOD VLM 3DV 65 40 0 06 Dec 2021
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation Dong Gong Wei Sun Javen Qinfeng Shi Anton van den Hengel Yanning Zhang SupR 26 27 0 08 Jan 2020
Unsupervised Scene Adaptation with Memory Regularization in vivo Zhedong Zheng Yi Yang CLL 19 117 0 24 Dec 2019
Fully Convolutional Adaptation Networks for Semantic Segmentation Yiheng Zhang Zhaofan Qiu Ting Yao Dong Liu Tao Mei SSeg OOD 163 350 0 23 Apr 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen Anton Van Den Hengel SSeg 260 1,491 0 30 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,645 0 02 Nov 2015