目标检测网络的知识蒸馏用于生成更高效模型

Efficient Object Detection Model Learning via Knowledge Distillation: This Article Presents a Methodology that Combines Knowledge Distillation and Hint Learning to Enhance the Performance of Main Trunk Simplified Multi-Category Object Detection Networks. The Enhanced Networks Show Improved Inference Precision, as Demonstrated Using the Faster RCNN Framework. Examples include Faster RCNN-Alexnet and Faster-RCNN-VGGM, with a Detailed Architectural Overview Provided in the Following Diagram.

教师网络中的暗知