84 citations
- Northwestern Polytechnical UniversityCN3 papers
- Singapore University of Technology and DesignSG3 papers
- Sun Yat-sen UniversityCN3 papers
- Hunan Normal UniversityCN2 papers
- North West Agriculture and Forestry University2 papers
- RMIT UniversityAU2 papers
- University of Electronic Science and Technology of ChinaCN2 papers
- Zhejiang UniversityCN2 papers
- A.V. Shubnikov Institute of CrystallographyRU1 paper
- Bauhaus-Universität WeimarDE1 paper
- Beijing Agricultural Machinery Research InstituteCN1 paper
- Beijing Computational Science Research CenterCN1 paper
6 papers · 1 filter
DepthCropSeg++: Scaling a Crop Segmentation Foundation Model With Depth-Labeled Data
Jiafei Zhang, Songliang Cao, Binghui Xu +6
DepthCropSeg++: a foundation model for crop segmentation, capable of segmenting different crop species under open in-field environment. Crop segmentation is a fundamental task for…
Sketch-Guided Stylized Landscape Cinemagraph Synthesis
Hao Jin, Hengyuan Chang, Xiaoxuan Xie +4
Designing stylized cinemagraphs is challenging due to the difficulty in customizing complex and expressive flow elements. To achieve intuitive and detailed control of the generated…
AdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation
Ran Lingyan, Wen Dongcheng, Zhuo Tao +3
Change Detection (CD) is an essential field in remote sensing, with a primary focus on identifying areas of change in bi-temporal image pairs captured at varying intervals of the s…
Generative Plant Growth Simulation from Sequence-Informed Environmental Conditions
Mohamed Debbagh, Yixue Liu, Zhouzhou Zheng +3
A plant growth simulation can be characterized as a reconstructed visual representation of a plant or plant system. The phenotypic characteristics and plant structures are controll…
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation
Lingyan Ran, Lushuang Wang, Tao Zhuo +1
Semantic segmentation of remote sensing images is a challenging and hot issue due to the large amount of unlabeled data. Unsupervised domain adaptation (UDA) has proven to be advan…
Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation
Haijin Zeng, Xiaozhen Xie, Jifeng Ning
Several bandwise total variation (TV) regularized low-rank (LR)-based models have been proposed to remove mixed noise in hyperspectral images (HSIs). Conventionally, the rank of LR…