Yasuto Yokota

Orcid: 0000-0003-0512-6318

According to our database1, Yasuto Yokota authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Disentangled Representation for Cross-Domain Medical Image Segmentation.
IEEE Trans. Instrum. Meas., 2023

2022
PICA: Point-wise Instance and Centroid Alignment Based Few-shot Domain Adaptive Object Detection with Loose Annotations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Discriminative Mutual Learning for Multi-target Domain Adaptation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multi-Step Test-Time Adaptation with Entropy Minimization and Pseudo-Labeling.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Feature Disentanglement For Cross-Domain Retina Vessel Segmentation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Dual-Consistency Self-Training For Unsupervised Domain Adaptation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

EBB: Progressive Optimization For Partial Domain Adaptation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

CANN: Coupled Approximation Neural Network for Partial Domain Adaptation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification.
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach.
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

2019
Robustness Evaluation of Deep Learning Models Based on Local Prediction Consistency.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019


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