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