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Haotian Bai

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Open access Aug 2026

AgriUFM: Unconditional-Flow-Matching-Based Generative Model for Creating Image–Mask Pairs of Agricultural Pests and Disease

Pests and diseases are key biological stress factors affecting crop yield and quality. Semantic segmentation enables pixel-level localization and severity characterization, but its performance and generalization are constrained by the high cost of high-quality pixel-level annotations, limited labeled samples, and class...

Haocheng Kong, Lei Liu, Haotian Bai et al. · 0 citations
Open access Jul 2026

YOLO-DC: A Crop Detection and Counting Network for UAV-Based Agricultural Scenes

The proposed YOLO-DC provides an effective solution for high-precision crop detection and counting in agricultural scenarios and achieves a favorable balance among detection accuracy, counting error, and model efficiency and overall outperforms the other comparison models.

Haotian Bai, Lei Liu, Haocheng Kong et al. · 0 citations

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