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Found 3 papers, 2 papers with code
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts
This research contributes to enhancing the utility of deep learning in healthcare, making diagnostic predictions more robust and trustworthy.
Object Instance Identification in Dynamic Environments
We study the problem of identifying object instances in a dynamic environment where people interact with the objects.
Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction
In this study, we introduce a video-based method for predicting contact between a hand and an object.
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