S. Senthilkumar

SE-ResAutoNet: an attention and residual learning framework for reliable gait-based suspect identification

The finding suggests that SE-ResAutoNet achieves an effective balance between accuracy, computational efficiency, and explainability, highlighting its strong potential for deployment in practical biometric and surveillance applications, subject to further validation on larger and more diverse datasets.