Search Results for author: Sotaro Tsukizawa

Found 5 papers, 4 papers with code

AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation

1 code implementation CVPR 2021 Denis Gudovskiy, Luca Rigazio, Shun Ishizaka, Kazuki Kozuka, Sotaro Tsukizawa

To overcome these limitations, we reformulate AutoAugment as a generalized automated dataset optimization (AutoDO) task that minimizes the distribution shift between test data and distorted train dataset.

Smart Home Appliances: Chat with Your Fridge

2 code implementations19 Dec 2019 Denis Gudovskiy, Gyuri Han, Takuya Yamaguchi, Sotaro Tsukizawa

Current home appliances are capable to execute a limited number of voice commands such as turning devices on or off, adjusting music volume or light conditions.

Visual Reasoning

Explanation-Based Attention for Semi-Supervised Deep Active Learning

no code implementations ICLR Workshop LLD 2019 Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa

We introduce an attention mechanism to improve feature extraction for deep active learning (AL) in the semi-supervised setting.

Active Learning

Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions

1 code implementation19 Nov 2018 Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Yasunori Ishii, Sotaro Tsukizawa

We qualitatively and quantitatively show that the proposed explanation method can be used to find image features which cause failures in DNN object detection.

Computational Efficiency Feature Importance +2

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