Find Anything Anywhere All at Once - One-Shot Instance Segmentation of Objects in a Point Cloud
In this project, we develop a network that can segment intances of a previously unseen object in a point cloud. The network takes as input the scene point cloud and a point cloud corresponding to the desired object, and predicts which points in the source point cloud belong to instances of the diesired object.
For more details, refer project poster.
To train the model, run
python -m fa.train --seed 0 --exp_name test_exp --batch_size 16
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