A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation
[article]
2022
arXiv
pre-print
Training a generalizable 3D part segmentation network is quite challenging but of great importance in real-world applications. To tackle this problem, some works design task-specific solutions by translating human understanding of the task to machine's learning process, which faces the risk of missing the optimal strategy since machines do not necessarily understand in the exact human way. Others try to use conventional task-agnostic approaches designed for domain generalization problems with
arXiv:2203.06558v4
fatcat:otjmwdo7sraq3m75ba5b6p45mq