43 citations · 123 across the 9 of their papers we have counts for
4 papers · 1 filter
GEAR-Seg: A Grounded Explainable Agent for Reasoning Segmentation and Data Engine
Yanan Wang, Wen Li, Yibin Ying +1
Reasoning segmentation requires localizing targets based on complex, implicit queries. Current end-to-end models typically entangle perception and deduction into an opaque black bo…
Learn from Foundation Model: Fruit Detection Model without Manual Annotation
Yanan Wang, Zhenghao Fei, Ruichen Li +1
Recent breakthroughs in large foundation models have enabled the possibility of transferring knowledge pre-trained on vast datasets to domains with limited data availability. Agric…
End-to-end deep learning for directly estimating grape yield from ground-based imagery
Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei +4
Yield estimation is a powerful tool in vineyard management, as it allows growers to fine-tune practices to optimize yield and quality. However, yield estimation is currently perfor…
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection
Zhenghao Fei, Alex Olenskyj, Brian N. Bailey +1
Training real-world neural network models to achieve high performance and generalizability typically requires a substantial amount of labeled data, spanning a broad range of variat…