Atsushi Sagata — accepted AI-conference papers

2019

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

Takashi Hosono, Yuuna Hoshi, Jun Shimamura, Atsushi Sagata

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 3 Source ↗Scholar ↗

2019

Weakly Supervised Instance Segmentation Using Hybrid Networks

Shisha Liao, Yongqing Sun, Chenqiang Gao, Pranav Shenoy K. P, Song Mu, Jun Shimamura +1

ICASSP 2019accepted

Weakly-supervised instance segmentation, which could greatly save labor and time cost of pixel mask annotation, has attracted increasing attention in recent years. The commonly used pipeline firstly utilizes conventional image segmentation methods to automatically generate initial masks and then use…

Cited by 0 Source ↗Scholar ↗