title: Why is the deeplab v3+ model confused about pixels outside image boundary?
body: <p>I'm using the google research github repository to run deeplab v3+ on my dataset to segment parts of a car. The crop size I've used is 513,513 (default) and the code adds a boundary to images smaller than that size (correct me if I'm wrong). </p>
  
  <p><a href="https://imgur.com/Huuj3DX" rel="nofollow noreferrer">example</a>!</p>
  
  <p>The model seems to be performing poorly on the added boundary. Is there something I'm supposed to correct or will the model do fine with more training ?</p>
  
  <p>Update: <a href="https://imgur.com/a/L7akJLf" rel="nofollow noreferrer">Here's</a> the tensorboard graphs for training. Why is the regularization loss shooting like that? The output seems to be improving, can someone help me making inferences from these graphs?</p>