Conda
[ICRA'23] ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Squeezesegv2 | 205 | a year ago | 20 | bsd-2-clause | Python | |||||
| Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud | ||||||||||
| Conda | 52 | a year ago | mit | Python | ||||||
| [ICRA'23] ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation | ||||||||||
| Lidar_transfer | 27 | 3 years ago | 1 | mit | Python | |||||
| Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020. | ||||||||||
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