
A novel Feature Corrective Transfer Learning (FCTL) approach that leverages transfer learning and a custom loss function to enable end-to-end object detection in challenging non-ideal visual conditions, without the need for image preprocessing.


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feature-corrective-transfer-learning-an-end-to-end-approach-for-robust-object-detection-in-non-ideal-visual-conditions


Feature Corrective Transfer Learning: An End-to-End Approach for Robust Object Detection in Non-Ideal Visual Conditions
