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Found 6 papers, 0 papers with code
Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation
The transductive transfer learning (TTL) method that incorporates a CycleGAN-based unpaired domain translation network has been previously proposed in the literature for effective ATR annotation.
Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning
However, learning a discriminative joint embedding within the multimodal space poses a considerable challenge due to the semantic gap in the unaligned image-text representations, along with the complexities arising from ambiguous and incoherent textual descriptions of the face.
Robust Ensemble Morph Detection with Domain Generalization
In this paper, we intend to learn a morph detection model with high generalization to a wide range of morphing attacks and high robustness against different adversarial attacks.
Benchmarking Human Face Similarity Using Identical Twins
The proposed network provides a quantitative similarity score for any two given faces and has been applied to large-scale face datasets to identify similar face pairs.
An EMD-based Method for the Detection of Power Transformer Faults with a Hierarchical Ensemble Classifier
In this paper, an Empirical Mode Decomposition-based method is proposed for the detection of transformer faults from Dissolve gas analysis (DGA) data.
Power Transformer Fault Diagnosis with Intrinsic Time-scale Decomposition and XGBoost Classifier
The proposed method's performance in classification is studied using publicly available DGA data of 376 power transformers and employing an XGBoost classifier.
