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Hello, guys, I am confused about why regressing the centers directly in corner-xnet can replace the embeddings in cornerNet to do the corner matching ?
The text was updated successfully, but these errors were encountered:
I had misunderstood the question before. Center regression works as we have multiple outputs so the location of the center is bound by the size of the feature map of a particular layer. We match centers allowing for a 30% error in matching. Please refer to the arxiv paper for more details. https://arxiv.org/abs/2001.03194
Hello, guys, I am confused about why regressing the centers directly in corner-xnet can replace the embeddings in cornerNet to do the corner matching ?
The text was updated successfully, but these errors were encountered: