Jun 11, 2021 · We propose Spectral UDA (SUDA), an effective and efficient UDA technique that works in the spectral space and can generalize across different ...
We propose Spectral UDA (SUDA), an effective and efficient. UDA technique that works in the spectral space and can generalize across different visual ...
We propose Spectral UDA (SUDA), an effective and efficient. UDA technique that works in the spectral space and can generalize across different visual ...
Spectral Unsupervised Domain Adaptation for Visual Recognition. Supplemental Materials. A. Experiment. A.1. Datasets. Datasets for Object Detection: We consider ...
We propose Spectral UDA (SUDA), an effective and efficient UDA technique that works in the spectral space and can generalize across different visual recognition ...
... Unsupervised Domain Adaptation (UDA) has been extensively studied in various visual recognition tasks for mitigating the data annotation constraint in deep ...
In this work, we explore the idea of instance contrastive learning in unsupervised domain adaptation (UDA) and propose a novel Category Contrast technique (CaCo) ...
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition [IJCNN2019] [Matlab] ... Multi-spectral Salient Object Detection by Adversarial Domain ...
Spectral Unsupervised Domain Adaptation for Visual Recognition. J Zhang, J Huang, Z Tian, S Lu. CVPR 2022, 2022. 81, 2022. DA-DETR: Domain Adaptive Detection ...