Aug 1, 2023 · This article proposes an effective lightweight defect detection network (KD-LightNet) suitable for edge scenes.
KD-LightNet: A Lightweight Network Based on Knowledge Distillation for ...
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Aug 16, 2023 · In this section, the proposed detection network KD-LightNet is extensively evaluated on an industrial surface defect dataset. First, we ...
At present, the method based on deep learning performs well in public object detection tasks. However, there are still two problems to be solved for ...
The proposed network is further implemented on an embedded device of Jetson Xavier NX and the detection speed of pavement cracks can reach 9.71 frames per ...
KD-LightNet: A Lightweight Network Based on Knowledge Distillation for Industrial Defect Detection. Request PDF. Restricted access. IEEE Transactions on ...
This paper presents an unsupervised and training-free method for defect detection on micro 3D textured surfaces, which is difficult due to low-contrast.
In this paper, we propose a novel anchor-free method based on knowledge distillation, called D-CenterNet. In our method, we employ an optimization approach ...
Jul 9, 2023 · We propose a lightweight intrusion detection approach based on self-knowledge distillation, namely LNet-SKD, which achieves the trade-off between accuracy and ...
KD-LightNet [14] introduced an efficient and lightweight defect detection network optimized for edge computing scenarios. The network architecture, LightNet, is ...
Sep 8, 2023 · KD-LightNet: A Lightweight Network Based on Knowledge Distillation for Industrial Defect Detection. IEEE Trans. Instrum. Meas. 2023;72 ...