Accurate detection of critical infrastructure in high-resolution remote sensing imagery is important for infrastructure inventory, regional monitoring, and risk assessment. However, differences in object scale, spatial density, geometric form, and background complexity make it difficult to evaluate detectors using a si...
Zheng Lu, Ye Wang, Xiao-Dong Huang et al.· Applied Sciences· 0 citations
Results indicate that attention-based feature refinement and boundary-aware supervision can work complementarily to improve landslide segmentation while maintaining a favorable balance between segmentation performance and computational efficiency.
Chuan Jiang, Heng-Gang Zhang, Yi-Ting Wang et al.· Remote Sensing· 0 citations
When training data are limited, increasing parameter count is not the only way to improve language-model performance. A small parameter set, when repeatedly applied, can also deliver comparable performance. We study Looped GPT-BERT in the BabyLM 2026 Strict-small setting, combining GPT-BERT's masked next-token and caus...
Tingshuo Fan, Hong-Tao Mu, Tian-Yun Zhou et al.· 0 citations
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