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- Tianjin UniversityCN28 papers
- Chinese Academy of SciencesCN21 papers
- Tsinghua UniversityCN20 papers
- Tianjin University of Science and TechnologyCN18 papers
- Nankai UniversityCN15 papers
- Peking UniversityCN12 papers
- Yunnan ObservatoriesCN12 papers
- National Astronomical ObservatoriesCN11 papers
- University of Chinese Academy of SciencesCN11 papers
- Texas A&M UniversityUS9 papers
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- Carnegie Institution for ScienceUS6 papers
13 papers · 1 filter
Domain-Division based Progressive Learning for Source-Free Domain Adaptation
Pan Liu, Jing Li, Meng Zhao +3
With growing privacy and portability concerns, source-free domain adaptation requires only a source pre-trained model and an unlabeled target domain, allowing for effective adaptat…
LIDAR: Lightweight Adaptive Cue-Aware Fusion Vision Mamba for Multimodal Segmentation of Structural Cracks
Hui Liu, Chen Jia, Fan Shi +4
Achieving pixel-level segmentation with low computational cost using multimodal data remains a key challenge in crack segmentation tasks. Existing methods lack the capability for a…
ESA: Annotation-Efficient Active Learning for Semantic Segmentation
Jinchao Ge, Zeyu Zhang, Minh Hieu Phan +4
Active learning enhances annotation efficiency by selecting the most revealing samples for labeling, thereby reducing reliance on extensive human input. Previous methods in semanti…
Semi-Supervised Pipe Video Temporal Defect Interval Localization
Zhu Huang, Gang Pan, Chao Kang +1
In sewer pipe Closed-Circuit Television (CCTV) inspection, accurate temporal defect localization is essential for effective defect classification, detection, segmentation and quant…
Hierarchical Matching and Reasoning for Multi-Query Image Retrieval
Zhong Ji, Zhihao Li, Yan Zhang +3
As a promising field, Multi-Query Image Retrieval (MQIR) aims at searching for the semantically relevant image given multiple region-specific text queries. Existing works mainly fo…
DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions
Xuhong Ren, Jianlang Chen, Felix Juefei-Xu +5
Network architecture search (NAS), in particular the differentiable architecture search (DARTS) method, has shown a great power to learn excellent model architectures on the specif…