<p class="jove_content">This study presents the Adaptive Dual-Attention Network (ADA-Net), a two-stage framework for automated industrial quality inspection. It combines DenseNet-121 with ECA and SE attention mechanisms to enhance feature learning. Evaluation on the VisA dataset demonstrates its effectiveness, robustness, and interpretability for industrial anomaly detection.</p>

adaptive-dual-attention-densenet-for-object-aware-two-stage

Institution - Zhangjiajie College

Articles Published in JoVE