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20162022
most citedExploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

217 citations · 447 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022★ 26 cited

Learning to Evaluate Performance of Multi-modal Semantic Localization

Zhiqiang Yuan, Wenkai Zhang, Chongyang Li +6

Semantic localization (SeLo) refers to the task of obtaining the most relevant locations in large-scale remote sensing (RS) images using semantic information such as text. As an em…

cs.CV2022★ 217 cited

Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

Zhiqiang Yuan, Wenkai Zhang, Kun Fu +4

Remote sensing (RS) cross-modal text-image retrieval has attracted extensive attention for its advantages of flexible input and efficient query. However, traditional methods ignore…

cs.CV2022★ 175 cited

Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information

Zhiqiang Yuan, Wenkai Zhang, Changyuan Tian +5

Cross-modal remote sensing text-image retrieval (RSCTIR) has recently become an urgent research hotspot due to its ability of enabling fast and flexible information extraction on r…

cs.CV2019★ 2 cited

Oriented Objects as pairs of Middle Lines

Haoran Wei, Yue Zhang, Zhonghan Chang +3

The detection of oriented objects is frequently appeared in the field of natural scene text detection as well as object detection in aerial images. Traditional detectors for orient…

cs.CV2019★ 3 cited

X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments

Haoran Wei, Yue Zhang, Bing Wang +3

Motivated by the development of deep convolution neural networks (DCNNs), tremendous progress has been gained in the field of aircraft detection. These DCNNs based detectors mainly…