Abstract: Semantic change detection (SCD) involves temporal changes and spatial semantics. Its working principle and processing flow usually include land semantic segmentation (LSS) and binary change ...

Abstract: Visual object-goal navigation requires an agent to make decisions to search for specified target objects within an unknown environment. While learning-based approaches have achieved progress ...

This project implements a deep learning pipeline for detecting road markings (e.g., dashed lines, solid lines, triangles, blocks) using aerial imagery and geospatial data. It leverages a U-Net model ...