INDIGO: Intrinsic Multimodality for Domain Generalization

Vision transformers in domain adaptation and domain generalization: a study of robustness

S Alijani, J Fayyad, H Najjaran - Neural Computing and Applications, 2024 - Springer
Deep learning models are often evaluated in scenarios where the data distribution is
different from those used in the training and validation phases. The discrepancy presents a …
被引用次数：4 相关文章 所有 2 个版本
[PDF] arxiv.org

Vision Transformers in Domain Adaptation and Generalization: A Study of Robustness

S Alijani, J Fayyad, H Najjaran - arXiv preprint arXiv:2404.04452, 2024 - arxiv.org
Deep learning models are often evaluated in scenarios where the data distribution is
different from those used in the training and validation phases. The discrepancy presents a …
被引用次数：3 相关文章 所有 2 个版本
[PDF] arxiv.org

Textual Query-Driven Mask Transformer for Domain Generalized Segmentation

B Pak, B Woo, S Kim, D Kim, H Kim - European Conference on Computer …, 2025 - Springer
In this paper, we introduce a method to tackle Domain Generalized Semantic Segmentation
(DGSS) by utilizing domain-invariant semantic knowledge from text embeddings of vision …
相关文章 所有 6 个版本