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20182022
most citedPNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure

2 citations · 10 across the 8 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 2 cited

Large-Scale Landslides Detection from Satellite Images with Incomplete Labels

Masanari Kimura

Earthquakes and tropical cyclones cause the suffering of millions of people around the world every year. The resulting landslides exacerbate the effects of these disasters. Landsli…

cs.LG2019★ 1 cited

New Perspective of Interpretability of Deep Neural Networks

Masanari Kimura, Masayuki Tanaka

Deep neural networks (DNNs) are known as black-box models. In other words, it is difficult to interpret the internal state of the model. Improving the interpretability of DNNs is o…

cs.CV2019★ 2 cited

PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure

Masanari Kimura

We propose the novel framework for anomaly detection in images. Our new framework, PNUNet, is based on many normal data and few anomalous data. We assume that some noises are added…

cs.CV2019★ 1 cited

Intentional Attention Mask Transformation for Robust CNN Classification

Masanari Kimura, Masayuki Tanaka

Convolutional Neural Networks have achieved impressive results in various tasks, but interpreting the internal mechanism is a challenging problem. To tackle this problem, we exploi…

cs.CV2019★ 2 cited

Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks

Masanari Kimura, Masayuki Tanaka

Convolutional Neural Networks have achieved impressive results in various tasks, but interpreting the internal mechanism is a challenging problem. To tackle this problem, we exploi…