16 citations · 18 across the 4 of their papers we have counts for
4 papers
Crowdsourcing Evaluation of Saliency-based XAI Methods
Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto +5
Understanding the reasons behind the predictions made by deep neural networks is critical for gaining human trust in many important applications, which is reflected in the increasi…
Inter-domain Multi-relational Link Prediction
Luu Huu Phuc, Koh Takeuchi, Seiji Okajima +4
Multi-relational graph is a ubiquitous and important data structure, allowing flexible representation of multiple types of interactions and relations between entities. Similar to o…
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification
Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa +1
It is a big problem that a model of deep learning for a picking robot needs many labeled images. Operating costs of retraining a model becomes very expensive because the object sha…
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach
Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa +1
Self-supervised learning methods are attractive candidates for automatic object picking. However, the trial samples lack the complete ground truth because the observable parts of t…