no code implementations • NAACL (maiworkshop) 2021 • Shunta Nagasawa, Yotaro Watanabe, Hitoshi Iyatomi
In image captioning, multiple captions are often provided as ground truths, since a valid caption is not always uniquely determined.
no code implementations • 21 Jan 2024 • Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi
This imbalance leads to misclassifications of the entity classes as the O-class.
no code implementations • 5 Sep 2023 • Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi
Hard-sample mining (HSM) is a common technique for re-training a model by using the mis-detected boxes as new training samples.
1 code implementation • 4 Apr 2023 • Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi
In this study, we propose a framework for practical unsupervised medical image enhancement that includes (1) a non-reference objective evaluation of structure preservation for medical image enhancement tasks called Laplacian structural similarity index measure (LaSSIM), which is based on SSIM and the Laplacian pyramid, and (2) a novel unsupervised GAN-based method called Laplacian medical image enhancement (LaMEGAN) to support the improvement of both originality and quality from LQ images.
no code implementations • 17 Nov 2022 • Kazuya Ohata, Shunsuke Kitada, Hitoshi Iyatomi
We propose a simple yet effective image captioning framework that can determine the quality of an image and notify the user of the reasons for any flaws in the image.
no code implementations • 2 Oct 2022 • Kei Nishimaki, Kumpei Ikuta, Yuto Onga, Hitoshi Iyatomi, Kenichi Oishi
Loc-VAE is based on $\beta$-VAE with the additional constraint that each dimension of the low-dimensional representation corresponds to a local region of the brain.
no code implementations • 7 Sep 2022 • Shunsuke Kitada, Yuki Iwazaki, Riku Togashi, Hitoshi Iyatomi
There is increasing interest in the use of multimodal data in various web applications, such as digital advertising and e-commerce.
no code implementations • 30 Aug 2022 • Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi
The proposed framework consists of a bidirectional encoder representations from transformers (BERT)-based detector that detects sentences causing differences in emotion recognition and an analysis that acquires expressions that characteristically appear in such sentences.
no code implementations • 2 Apr 2022 • Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki
To improve the prediction performance for the two different types of discontinuations and for the ad creatives that contribute to sales, we introduce two new techniques: (1) a two-term estimation technique with multi-task learning and (2) a click-through rate-weighting technique for the loss function.
no code implementations • 18 Aug 2021 • Hideaki Okamoto, Takakiyo Nomura, Kazuhito Nabeshima, Jun Hashimoto, Hitoshi Iyatomi
In gastric cancer screening, X-rays can be performed by radiographers, allowing them to see far more patients than endoscopy, which can only be performed by physicians.
no code implementations • 14 Aug 2021 • Hayato Arai, Yuto Onga, Kumpei Ikuta, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
Compared with the baseline condition, our PSS reduced the variability in the distance from Alzheimer's disease (AD) to clinically normal (CN) and Parkinson disease (PD) cases by 15. 8-22. 6% and 18. 0-29. 9%, respectively.
no code implementations • 18 Apr 2021 • Shunsuke Kitada, Hitoshi Iyatomi
That is, even if the model using our VAT-based technique is trained on unlabeled data from a source other than the target task, both the prediction performance and model interpretability can be improved.
no code implementations • 3 Mar 2021 • Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao, Masaru Tanaka, Hitoshi Iyatomi
Although highly accurate automated diagnostic techniques for melanoma have been reported, the realization of a system capable of providing diagnostic evidence based on medical indices remains an open issue because of difficulties in obtaining reliable training data.
no code implementations • 28 Nov 2020 • Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda
Medical images have been indispensable and useful tools for supporting medical experts in making diagnostic decisions.
1 code implementation • Asian Chapter of the Association for Computational Linguistics 2020 • Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi
We propose a new character-based text classification framework for non-alphabetic languages, such as Chinese and Japanese.
no code implementations • 12 Oct 2020 • Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
The collection of high-resolution training data is crucial in building robust plant disease diagnosis systems, since such data have a significant impact on diagnostic performance.
1 code implementation • 25 Sep 2020 • Shunsuke Kitada, Hitoshi Iyatomi
To overcome the vulnerability to perturbations in the mechanism, we are inspired by adversarial training (AT), which is a powerful regularization technique for enhancing the robustness of the models.
1 code implementation • ACL 2020 • Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi
Classical and some deep learning techniques for Arabic text classification often depend on complex morphological analysis, word segmentation, and hand-crafted feature engineering.
1 code implementation • 24 Feb 2020 • Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
LeafGAN generates a wide variety of diseased images via transformation from healthy images, as a data augmentation tool for improving the performance of plant disease diagnosis.
no code implementations • 4 Dec 2019 • Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
Content-based image retrieval (CBIR) is an emerging technology for reducing this burden by supporting the reading of medical images.
no code implementations • 26 Nov 2019 • Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
Automated plant diagnosis using images taken from a distance is often insufficient in resolution and degrades diagnostic accuracy since the important external characteristics of symptoms are lost.
no code implementations • 25 Nov 2019 • Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
As a result, overfitting due to latent similarities in the dataset often occurs, and the diagnostic performance on real unseen data (e, g.
no code implementations • 25 Oct 2019 • Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
Practical automated detection and diagnosis of plant disease from wide-angle images (i. e. in-field images containing multiple leaves using a fixed-position camera) is a very important application for large-scale farm management, in view of the need to ensure global food security.
1 code implementation • 17 May 2019 • Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki
Furthermore, conditional attention focuses attention of each ad creative with the consideration of its genre and target gender, thus improving conversion prediction accuracy.
1 code implementation • 8 Oct 2018 • Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi
For analysing and/or understanding languages having no word boundaries based on morphological analysis such as Japanese, Chinese, and Thai, it is desirable to perform appropriate word segmentation before word embeddings.
no code implementations • 7 Sep 2018 • Shunsuke Kitada, Hitoshi Iyatomi
In this report, we introduce the outline of our system in Task 3: Disease Classification of ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection.
no code implementations • 26 Dec 2013 • M. Emre Celebi, Quan Wen, Sae Hwang, Hitoshi Iyatomi, Gerald Schaefer
Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions.