Abstract: Previous knowledge distillation (KD) methods for object detection mostly focus on feature imitation instead of mimicking the prediction logits due to its inefficiency in distilling the ...
Abstract: In Deep Neural Networks (DNNs), optimization is necessary for adjusting model parameters to reduce the loss function, which directly affects the model’s performance. Effective optimization ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback