Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...
Abstract: Few-shot segmentation (FSS) techniques enhance pixel-level interpretation of unseen classes while reducing reliance on extensive labeled data. However, FSS still faces significant ...
This repository contains code and datasets for our research on developing machine learning models that mimic human visual motion perception. While state-of-the-art computer vision (CV) models, such as ...
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