Anchor formulation.

We depict each parameter in the 2D/3D anchor formulation.</p

Ablations.

Ablations.</p

Encoder decoder network structure.

We employ a straightforward encoder-decoder architecture with skip connections. The encoder part is a pre-trained truncated DenseNet-169 [21] with no additional modifications. The decoder is composed of basic blocks of convolutional layers.</p

3D detection.

3D detection.</p

Framework overview.

<p>Framework overview.</p

Comparison to other classifiers.

<p>Comparison to other classifiers.</p

Comparison to previous work.

<p>Comparison to previous work.</p

The frequency distribution histogram of Java files.

<p>The frequency distribution histogram of Java files.</p

The classification results of PSOBP and BP neural network in one 10-fold cross-validation experiment.

<p>The classification results of PSOBP and BP neural network in one 10-fold cross-validation experiment.</p

Programming metrics extracted from Java source code files.

<p>Programming metrics extracted from Java source code files.</p