53 citations · 101 across the 6 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
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…
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…
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-…