Training and validating models for semantic segmentation require datasets with pixel-wise
annotations, which are notoriously labor-intensive. Although useful priors such as …

The objective of domain generalization (DG) is to enhance the transferability of the model
learned from a source domain to unobserved domains. To prevent overfitting to a specific …

Water surface object detection (WSOD) has achieved remarkable success within the realm
of deep learning. However, one persistent challenge is the requirement for a substantial …

In anomaly detection, the scarcity of anomalous data compared to normal data poses a
challenge in effectively utilizing deep neural network representations to identify anomalous …