A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings

Neural Machine Translation by Jointly Learning to Align and Translate

Dzmitry Bahdanau · arXiv (Cornell University) · 2014 · 14.6K citations · Full text

Computing, Computer Science, Natural Language Processing +9

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2015 · 11.4K citations

Computing, Computer Science, Computer Vision +16

Recurrent Models of Visual Attention

Volodymyr Mnih, Nicolas Heess, Alex Graves et al. · arXiv (Cornell University) · 2014 · 2.3K citations · Full text

Computing, Computer Science, Computer Vision +13

Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

Victor Partel, Sri Charan Kakarla, Yiannis Ampatzidis · Computers and Electronics in Agriculture · 2019 · 416 citations · Full text

Agriculture, Precision Agriculture, Weed Science +17

The early detection of and rapid response (EDRR) to invasive species: a conceptual framework and federal capacities assessment

Jamie K. Reaser, Stanley W. Burgiel, Jason Kirkey et al. · Biological Invasions · 2019 · 352 citations · Full text

Public Affairs, Environmental Policy, Conservation Policy +11