UPDF AI

Cross-view Geo-localization with Layer-to-Layer Transformer

Hongji Yang,Xiufan Lu,Ying J. Zhu

2021 · DBLP: conf/nips/YangLZ21
Neural Information Processing Systems · 157 Citations

TLDR

A novel layer-to-layer Transformer (L2LTR) that utilizes the properties of self-attention in Transformer to model global dependencies, thus significantly decreasing visual ambiguities in cross-view geo-localization.