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Improving Robotic Grasping on Monocular Images Via Multi-Task Learning
  and Positional Loss

Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss

5 November 2020
William Prew
T. Breckon
M. Bordewich
Ulrik R Beierholm
ArXiv (abs)PDFHTML

Papers citing "Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss"

2 / 2 papers shown
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for
  Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge
Alexander Wong
Yifan Wu
Saad Abbasi
Saeejith Nair
Yuhao Chen
M. Shafiee
164
16
0
21 Apr 2023
Evaluating Gaussian Grasp Maps for Generative Grasping Models
Evaluating Gaussian Grasp Maps for Generative Grasping ModelsIEEE International Joint Conference on Neural Network (IJCNN), 2022
William Prew
T. Breckon
M. Bordewich
Ulrik R Beierholm
3DGS
222
3
0
01 Jun 2022
1
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