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For Case 1, the target point cloud is converted from the source point cloud with the same number of points, and the two-point clouds exhibit one-to-one correspondence without missing points. Case 1 simulates the unique correspondence of feature points under ideal conditions as a way to verify...
(Gigabyte Technology, Beijing, China) When the deep models were trained, a batch size of 2 and a learning rate of 0.001 were employed. Of them, the learning rate was divided by five after 200 epochs, and the training ended after 1400 epochs. For fairly comparing the diverse loss functions...
(Gigabyte Technology, Beijing, China) When the deep models were trained, a batch size of 2 and a learning rate of 0.001 were employed. Of them, the learning rate was divided by five after 200 epochs, and the training ended after 1400 epochs. For fairly comparing the diverse loss functions...
(Gigabyte Technology, Beijing, China) When the deep models were trained, a batch size of 2 and a learning rate of 0.001 were employed. Of them, the learning rate was divided by five after 200 epochs, and the training ended after 1400 epochs. For fairly comparing the diverse loss functions...