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cs.CV2024
Improving 3D Few-Shot Segmentation with Inference-Time Pseudo-Labeling
Mohammad Mozafari, Hosein Hasani, Reza Vahidimajd +2
In recent years, few-shot segmentation (FSS) models have emerged as a promising approach in medical imaging analysis, offering remarkable adaptability to segment novel classes with…
cs.LG2024
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation
Mahdi Ghaznavi, Hesam Asadollahzadeh, Fahimeh Hosseini Noohdani +5
Classifiers trained with Empirical Risk Minimization (ERM) tend to rely on attributes that have high spurious correlation with the target. This can degrade the performance on under…