3.1k citations · 3.3k across the 19 of their papers we have counts for
19 papers
Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset
Xiaomeng Zhu, Talha Bilal, Pär Mårtensson +3
This paper is about effectively utilizing synthetic data for training deep neural networks for industrial parts classification, in particular, by taking into account the domain gap…
Noisy Image Segmentation With Soft-Dice
Marcus Nordström, Henrik Hult, Atsuto Maki +1
This paper presents a study on the soft-Dice loss, one of the most popular loss functions in medical image segmentation, for situations where noise is present in target labels. In…
Time-series Anomaly Detection based on Difference Subspace between Signal Subspaces
Takumi Kanai, Naoya Sogi, Atsuto Maki +1
This paper proposes a new method for anomaly detection in time-series data by incorporating the concept of difference subspace into the singular spectrum analysis (SSA). The key id…
Marginal Thresholding in Noisy Image Segmentation
Marcus Nordström, Henrik Hult, Atsuto Maki
This work presents a study on label noise in medical image segmentation by considering a noise model based on Gaussian field deformations. Such noise is of interest because it yiel…
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour +1
We propose Dense FixMatch, a simple method for online semi-supervised learning of dense and structured prediction tasks combining pseudo-labeling and consistency regularization via…
Towards a Unified View of Affinity-Based Knowledge Distillation
Vladimir Li, Atsuto Maki
Knowledge transfer between artificial neural networks has become an important topic in deep learning. Among the open questions are what kind of knowledge needs to be preserved for…