research
∙
11/27/2022
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation
While transformers have greatly boosted performance in semantic segmenta...
share
research
∙
04/01/2022
A Unified Framework for Domain Adaptive Pose Estimation
While pose estimation is an important computer vision task, it requires ...
research
∙
03/22/2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
Deep models must learn robust and transferable representations in order ...
research
∙
01/15/2022
Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow
Unpaired video-to-video translation aims to translate videos between a s...
research
∙
09/18/2020
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation
Unsupervised domain adaptation for semantic segmentation has been intens...
research
∙
12/03/2019
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes
In the past decade, deep learning based visual object detection has rece...
research
∙
08/31/2019
