most citedMultiple instance dense connected convolution neural network for aerial image scene classification

153 citations · 206 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 53 cited

All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification

Qi Bi, Beichen Zhou, Kun Qin +2

Aerial scene classification remains challenging as: 1) the size of key objects in determining the scene scheme varies greatly; 2) many objects irrelevant to the scene scheme are of…

eess.IV2019

Building change detection based on multi-scale filtering and grid partition

Qi Bi, Kun Qin, Han Zhang +3

Building change detection is of great significance in high resolution remote sensing applications. Multi-index learning, one of the state-of-the-art building change detection metho…

cs.CV2019★ 153 cited

Multiple instance dense connected convolution neural network for aerial image scene classification

Qi Bi, Kun Qin, Zhili Li +2

With the development of deep learning, many state-of-the-art natural image scene classification methods have demonstrated impressive performance. While the current convolution neur…