LALE: Lightweight-Transformer Architecture for Land-Cover Estimation 事件

LALE: Lightweight-Transformer Architecture for Land-Cover Estimation arXiv:2606.02092v1 Announce Type: cross Abstract: Semantic segmentation of remote sensing imagery requires models that capture both global context and local detail under tight computational budgets. Prior work typically optimizes for one of these axes: attention for global context, convolution for local detail, or compactness for efficiency. While hybrid approaches aim to capture both, they require architectural changes and en