most citedFeature Based Methods in Domain Adaptation for Object Detection: A Review Paper

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cs.CV2025

Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels

Alireza Sedighi Moghaddam, Mohammad Reza Mohammadi

Labeled data is a fundamental component in training supervised deep learning models for computer vision tasks. However, the labeling process, especially for ordinal image classific…

cs.CV2025★ 1 cited

Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper

Helia Mohamadi, Mohammad Ali Keyvanrad, Mohammad Reza Mohammadi

Domain adaptation, a pivotal branch of transfer learning, aims to enhance the performance of machine learning models when deployed in target domains with distinct data distribution…