Nov 30, 2021 · We present ConDA, a concatenation-based domain adaptation framework for LiDAR segmentation that: 1) constructs an intermediate domain consisting ...

The main idea of ConDA is to (1) construct an intermediate domain consisting of fine-grained interchange signals from both source and target domains without ...

➢ A novel framework for cross-city UDA in LiDAR segmentation that leverages the scene priors for domain bridging and regularization. ➢ A huge performance ...

Jun 2, 2023 · We present. ConDA, a concatenation-based domain adaptation framework for LiDAR segmentation that: 1) constructs an intermediate domain ...

ConDA is presented, a concatenation-based domain adaptation framework for LiDAR segmentation that constructs an intermediate domain consisting of ...

We present ConDA, a concatenation-based domain adaptation framework for LiDAR semantic segmentation that: (1) constructs an intermediate domain consisting of ...

GIPSO [41], a recent online adaptation method, requires an optimization process on target domain data using geometric propagation and temporal regularization ...

Sep 15, 2022 · We present ConDA, a concatenation-based domain adaptation framework for LiDAR segmentation that: 1) constructs an intermediate domain consisting ...

nuScenes (Cross-City UDA). Introduced by Kong et al. in ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation.

Dec 10, 2021 · We present ConDA, a concatenation-based domain adaptation framework for LiDAR semantic segmen- tation that: (1) constructs an intermediate ...