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20182023
most citedSo2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

53 citations · 101 across the 6 of their papers we have counts for

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13 papers · 1 filter

cs.CV2023

RRSIS: Referring Remote Sensing Image Segmentation

Zhenghang Yuan, Lichao Mou, Yuansheng Hua +1

Localizing desired objects from remote sensing images is of great use in practical applications. Referring image segmentation, which aims at segmenting out the objects to which a g…

cs.CV2022★ 16 cited

FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification

Pu Jin, Lichao Mou, Yuansheng Hua +2

Unmanned aerial vehicles (UAVs) are now widely applied to data acquisition due to its low cost and fast mobility. With the increasing volume of aerial videos, the demand for automa…

cs.CV2021

SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images

Tianze Yu, Jianzhe Lin, Lichao Mou +3

Most publicly available datasets for image classification are with single labels, while images are inherently multi-labeled in our daily life. Such an annotation gap makes many pre…

cs.CV2021

Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks

Yuansheng Hua, Lichao Moua, Jianzhe Lin +2

Aerial scene recognition is a fundamental visual task and has attracted an increasing research interest in the last few years. Most of current researches mainly deploy efforts to c…

cs.CV2021

MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images

Yuansheng Hua, Lichao Mou, Pu Jin +1

Aerial scene recognition is a fundamental research problem in interpreting high-resolution aerial imagery. Over the past few years, most studies focus on classifying an image into…

cs.CV2021

Semantic Segmentation of Remote Sensing Images with Sparse Annotations

Yuansheng Hua, Diego Marcos, Lichao Mou +2

Training Convolutional Neural Networks (CNNs) for very high resolution images requires a large quantity of high-quality pixel-level annotations, which is extremely labor- and time-…