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cs.CV2026
PlantC2USeg: Cross-Scale Consistent Pre-Training for Few-Shot Unified Plant Point Cloud Segmentation
Yu Tian, Xintong Jiang, Jan Franklin Adamowski +2
Modern crop breeding demands precise organ-level analysis for trait quantification, making plant point cloud segmentation (PPCS) increasingly important. However, conventional deep…
cs.CV2026
Vision-Language Semantic Grounding for Multi-Domain Crop-Weed Segmentation
Nazia Hossain, Xintong Jiang, Yu Tian +3
Fine-grained crop-weed segmentation is essential for enabling targeted herbicide application in precision agriculture. However, existing deep learning models struggle to generalize…
cs.CV2025
Adapting SAM with Dynamic Similarity Graphs for Few-Shot Parameter-Efficient Small Dense Object Detection: A Case Study of Chickpea Pods in Field Conditions
Xintong Jiang, Yixue Liu, Mohamed Debbagh +4
Parameter-Efficient Fine-Tuning (PEFT) of foundation models for agricultural computer vision tasks remains challenging due to limited training data and complex field conditions. Th…