A Light-Weight Neural Network for Fast and Interactive Edge Detection in 3D Point Clouds

Indicators: median value per method

Click on a column header to change sorting.

Indicators distributions per method

This plot shows, for each method and training set, the distributions of several indicators for the whole dataset. Use the drop-down menue below to change the indicator (both the description and the plot should be updated). Note that the plot is interactive: change zoom, range and access method full name using mouse interaction.
Current indicator:

Bad (indicator 25% smallest values) and good (indicator 10% higher values) areas are highlighted in the plot in red and green, respectively. Efficient methods should have few samples in the red area (the lower, the better), while having most of its samples in the green area (the higher, the better).

Precision/Recall

This plot shows a representative score per approach: each method is shown as point sample, such that (select mean or median below):

• Its position is the mean precision/recall score for the whole dataset,
• Its position is the median precision/recall score for the whole dataset.

The plot is interactive: change zoom, range and access method full name using mouse interaction.

Precision/Recall distributions - Methods comparisons

These graphs show the precision/recall values as scatter plot (each 3D model is a sample) and its associated density function for the whole dataset.