13 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images
Kun Zhao, Qian Gao, Siyuan Hao +2
Due to their ability to offer more comprehensive information than data from a single view, multi-view (multi-source, multi-modal, multi-perspective, etc.) data are being used more…
cs.CV2022★ 2 cited
Semantic Interleaving Global Channel Attention for Multilabel Remote Sensing Image Classification
Yongkun Liu, Kesong Ni, Yuhan Zhang +2
Multi-Label Remote Sensing Image Classification (MLRSIC) has received increasing research interest. Taking the cooccurrence relationship of multiple labels as additional informatio…
cs.CV2020★ 13 cited
Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings
Kun Zhao, Yongkun Liu, Siyuan Hao +3
Street view images classification aiming at urban land use analysis is difficult because the class labels (e.g., commercial area), are concepts with higher abstract level compared…