MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling

30 September 2019

Papers citing "MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling"

8 / 8 papers shown

Title
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation Chuanglu Zhu Kebin Liu Wenqi Tang Ke Mei Jiaqi Zou Tiejun Huang 57 1 0 14 Feb 2023
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers R. Gong Qin Wang Dengxin Dai Luc Van Gool ViT 27 4 0 14 Dec 2022
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation Xiaoqing Guo Jie Liu Tongliang Liu Yiyuan Yuan 30 27 0 29 Mar 2022
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation Suman Saha Anton Obukhov D. Paudel Menelaos Kanakis Yuhua Chen Stamatios Georgoulis Luc Van Gool OOD 31 55 0 17 May 2021
Boosting Domain Adaptation by Discovering Latent Domains Massimiliano Mancini Lorenzo Porzi Samuel Rota Buló Barbara Caputo Elisa Ricci OOD 136 154 0 03 May 2018
Fully Convolutional Adaptation Networks for Semantic Segmentation Yiheng Zhang Zhaofan Qiu Ting Yao Dong Liu Tao Mei SSeg OOD 163 349 0 23 Apr 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. 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 15,637 0 02 Nov 2015