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Global Dependency Network for Transmission Line Detection Using Knowledge Distillation
The weights and dataset are on Baidu Cloud： 链接：https://pan.baidu.com/s/1pj2R7508eBmT1kNZYsPa0Q 提取码：I'll give it to you when it's ready.
Refer to requirements.txt for the Refer to requirements.txt for the environment configuration file. configuration file.
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3)Effectiveness of KD methods in GDNet-S*. We conducted a total of six ablation experiments to validate the effectiveness of the three proposed KD methods thoroughly. These experiments were conducted in the forms of individual validation and pairwise combination validation to verify the proposed KD. As shown in Table Ⅳ, we first individually validated the effectiveness of MSR, ACL, and BEVM and then validated the effectiveness of the combinations MSR and ACL, MSR and BEVM, and ACL and BEVM. The results showed a significant improvement in the effectiveness of our distillation methods, and no conflicts between the distillation methods.