1. Can you improve the single-shot multibox detection by improving the loss function? For example, replace Lị norm loss with smooth L1 norm loss for the predicted offsets. This loss function uses a...

code1. Can you improve the single-shot multibox detection by improving the loss function? For<br>example, replace Lị norm loss with smooth L1 norm loss for the predicted offsets. This<br>loss function uses a square function around zero for smoothness, which is controlled by the<br>hyperparameter o:<br>if |r| < 1/o?<br>U2| - 0.5/o2, otherwise<br>f(1)<br>(13.7.1)<br>When a is very large, this loss is similar to the Li norm loss. When its value is smaller, the loss<br>function is smoother.<br>

Extracted text: 1. Can you improve the single-shot multibox detection by improving the loss function? For example, replace Lị norm loss with smooth L1 norm loss for the predicted offsets. This loss function uses a square function around zero for smoothness, which is controlled by the hyperparameter o: if |r| < 1/o?="" u2|="" -="" 0.5/o2,="" otherwise="" f(1)="" (13.7.1)="" when="" a="" is="" very="" large,="" this="" loss="" is="" similar="" to="" the="" li="" norm="" loss.="" when="" its="" value="" is="" smaller,="" the="" loss="" function="" is="">

Jun 11, 2022
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