Pruning
Related papers: 20
Top Researchers
Top Cited Papers
Optuna: A Next-generation Hyperparameter Optimization Framework
Citations: 995 • 2019
Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments
Dihua Wu, Shuaichao Lv, Mei Jiang, Huaibo Song
Citations: 493 • 2020
Online Graph Pruning for Pathfinding On Grid Maps
Daniel Harabor, Alban Grastien
Citations: 376 • 2011
Sampling-based robotic information gathering algorithms
Geoffrey A. Hollinger, Gaurav S. Sukhatme
Citations: 332 • 2014
Human–robot interaction in agriculture: A survey and current challenges
Juan Pablo Vásconez, George Kantor, Fernando Auat Cheein
Citations: 303 • 2019
Logical-shapelets
Abdullah Mueen, Eamonn Keogh, Neal E. Young
Citations: 273 • 2011
Artificial Life and Real Robots
Rodney A. Brooks
Citations: 259 • 1992
A Robot System for Pruning Grape Vines
Tom Botterill, Scott Paulin, Richard D. Green, Samuel Williams, Jessica Lin, Valerie P. Saxton, Steven Mills, Xiaoqi Chen, Sam Corbett‐Davies
Citations: 218 • 2016
Modeling a dynamic environment using a Bayesian multiple hypothesis approach
Ingemar J. Cox, John J. Leonard
Citations: 165 • 1994
Robust Dense Mapping for Large-Scale Dynamic Environments
Ioan Andrei Bârsan, Peidong Liu, Marc Pollefeys, Andreas Geiger
Citations: 147 • 2018
Deep learning based segmentation for automated training of apple trees on trellis wires
Yaqoob Majeed, Jing Zhang, Xin Zhang, Longsheng Fu, Manoj Karkee, Qin Zhang, Matthew D. Whiting
Citations: 146 • 2020
Deep Neural Network Compression by In-Parallel Pruning-Quantization
Frederick Tung, Greg Mori
Citations: 138 • 2018
Kinematic Constrained Bi-directional RRT with Efficient Branch Pruning for robot path planning
Jiankun Wang, Baopu Li, Max Q.‐H. Meng
Citations: 136 • 2020
Localization and Mapping for Robots in Agriculture and Forestry: A Survey
André Aguiar, Filipe Neves dos Santos, José Boaventura‐Cunha, Héber Sobreira, Armando Sousa
Citations: 127 • 2020
Sensing and Automation in Pruning of Apple Trees: A Review
Long He, James R. Schupp
Citations: 125 • 2018
Efficiently Inducing Determinations: A Complete and Systematic Search Algorithm that Uses Optimal Pruning
Jeffrey C. Schlimmer
Citations: 122 • 1993
Generative Sparse Detection Networks for 3D Single-Shot Object Detection
JunYoung Gwak, Christopher Choy, Silvio Savarese
Citations: 115 • 2020
Design and Field Evaluation of a Robotic Apple Harvesting System with a 3D-Printed Soft-Robotic End-Effector
Cameron J. Hohimer, Heng Wang, Santosh Bhusal, John H. Miller, Changki Mo, Manoj Karkee
Citations: 112 • 2019
Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures
Rih‐Teng Wu, Ankush Singla, Mohammad R. Jahanshahi, Elisa Bertino, Bong Jun Ko, Dinesh Verma
Citations: 99 • 2019
Technological advancements towards developing a robotic pruner for apple trees: A review
Azlan Zahid, Md Sultan Mahmud, Long He, Paul Heinemann, Daeun Choi, James R. Schupp
Citations: 98 • 2021