The article presents PlainSeg, a minimalist and efficient system for semantic segmentation utilizing plain Vision Transformer (ViT) models. The system aims to achieve high performance using a simple structure, consisting…
Continue readingThis study presents HAMLET, a novel framework aiming to overcome the challenges of real-time, online domain adaptation in semantic segmentation. It addresses the problem of high computational costs and inefficiency…
Continue readingThis paper presents a new multi-task active learning strategy for two interconnected vision tasks: object detection and semantic segmentation. The authors propose a method that leverages the inconsistency between these…
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