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Takashi Hosono

2 accepted papers

2019

Adaptive Loss Balancing for Multitask Learning of Object Instance Recognition and 3D Pose Estimation

IROS 2019poster

Object instance recognition and 3D pose estimation are important elements in robot vision technology. State-of-the-art methods improve the accuracy of both instance recognition and pose estimation using multitask learning. These methods use unified balancing parameters to integrate the loss of each…

Cited by 3SourceScholar
2018

Unsupervised Object Proposal Using Depth Boundary Density and Density Uniformity

IROS 2018poster

Object proposal that detects candidate bounding boxes of objects in images is an effective way of accelerating object recognition in the robot/computer vision area. We propose an accurate and fast object proposal method using depth images. Existing proposal methods can be roughly divided into two ca…

Cited by 0SourceScholar