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cs.CV2025
Semi-supervised Deep Transfer for Regression without Domain Alignment
Mainak Biswas, Ambedkar Dukkipati, Devarajan Sridharan
Deep learning models deployed in real-world applications (e.g., medicine) face challenges because source models do not generalize well to domain-shifted target data. Many successfu…
cs.CV2023
Rescuing referral failures during automated diagnosis of domain-shifted medical images
Anuj Srivastava, Karm Patel, Pradeep Shenoy +1
The success of deep learning models deployed in the real world depends critically on their ability to generalize well across diverse data domains. Here, we address a fundamental ch…