Browsing Department of Computer Science by Subject "Transfer learning"
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Urban Scene Segmentation and Cross-Dataset Transfer Learning using SegFormer
(SPIE, 2025-08-01)Semantic segmentation is essential for autonomous driving applications, but state-of-the-art models are typically evaluated on large datasets like Cityscapes, leaving smaller datasets underexplored. This research gap limits ...