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most citedRethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather

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cs.CV2024★ 1 cited

Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather

Junsung Park, Kyungmin Kim, Hyunjung Shim

Existing LiDAR semantic segmentation methods often struggle with performance declines in adverse weather conditions. Previous work has addressed this issue by simulating adverse we…

cs.CV2024

Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation

Junsung Park, Hyunjung Shim

Weakly Supervised Semantic Segmentation (WSSS) employs weak supervision, such as image-level labels, to train the segmentation model. Despite the impressive achievement in recent W…