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What is 3D-CNN Transfer Learning for Person Re-ID about?

The paper presents a spatio-temporal transfer learning approach using a 3D-CNN for video-based person re-identification, addressing challenges such as insufficient annotated datasets and overfitting. By fine-tuning a pre-trained model on multiple domain datasets, the proposed method enhances re-identification accuracy and robustness against adversarial examples. Experimental results demonstrate an average improvement of over 4% compared to existing methods, highlighting the effectiveness of the approach in

Author

kajal

Language

EN