Global–Local Query-Support Cross-Attention for Few-Shot Semantic Segmentation

Autor: Fengxi Xie, Guozhen Liang, Ying-Ren Chien

Publikováno v: Mathematics, Vol 12, Iss 18, p 2936 (2024)

Few-shot semantic segmentation (FSS) models aim to segment unseen target objects in a query image with scarce annotated support samples. This challenging task requires an effective utilization of support information contained in the limited support s

Externí odkaz: https://doaj.org/article/31afb0c81b3f4631bba276d857341d65

Robust Bias Compensation Method for Sparse Normalized Quasi-Newton Least-Mean with Variable Mixing-Norm Adaptive Filtering

Autor: Ying-Ren Chien, Han-En Hsieh, Guobing Qian

Publikováno v: Mathematics, Vol 12, Iss 9, p 1310 (2024)

Input noise causes inescapable bias to the weight vectors of the adaptive filters during the adaptation processes. Moreover, the impulse noise at the output of the unknown systems can prevent bias compensation from converging. This paper presents a r

Externí odkaz: https://doaj.org/article/02ddd69203934f739a17e7ed52472e7b

The IPIN 2019 Indoor Localisation Competition—Description and Results

Autor: Francesco Potorti, Sangjoon Park, Antonino Crivello, Filippo Palumbo, Michele Girolami, Paolo Barsocchi, Soyeon Lee, Joaquin Torres-Sospedra, Antonio Ramon Jimenez Ruiz, Antoni Perez-Navarro, German Martin Mendoza-Silva, Fernando Seco, Miguel Ortiz, Johan Perul, Valerie Renaudin, Hyunwoong Kang, Soyoung Park, Jae Hong Lee, Chan Gook Park, Jisu Ha, Jaeseung Han, Changjun Park, Keunhye Kim, Yonghyun Lee, Seunghun Gye, Keumryeol Lee, Eunjee Kim, Jeong-Sik Choi, Yang-Seok Choi, Shilpa Talwar, Seong Yun Cho, Boaz Ben-Moshe, Alex Scherbakov, Leonid Antsfeld, Emilio Sansano-Sansano, Boris Chidlovskii, Nikolai Kronenwett, Silvia Prophet, Yael Landay, Revital Marbel, Lingxiang Zheng, Ao Peng, Zhichao Lin, Bang Wu, Chengqi Ma, Stefan Poslad, David R. Selviah, Wei Wu, Zixiang Ma, Wenchao Zhang, Dongyan Wei, Hong Yuan, Jun-Bang Jiang, Shao-Yung Huang, Jing-Wen Liu, Kuan-Wu Su, Jenq-Shiou Leu, Kazuki Nishiguchi, Walid Bousselham, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-Ichiro Taniguchi, Vicente Cortes Puschel, Tomas Lungenstrass Poulsen, Imran Ashraf, Chanseok Lee, Muhammad Usman Ali, Yeongjun Im, Gunzung Kim, Jeongsook Eom, Soojung Hur, Yongwan Park, Miroslav Opiela, Adriano Moreira, Maria Joao Nicolau, Cristiano Pendao, Ivo Silva, Filipe Meneses, Antonio Costa, Jens Trogh, David Plets, Ying-Ren Chien, Tzu-Yu Chang, Shih-Hau Fang, Yu Tsao

Publikováno v: IEEE Access, Vol 8, Pp 206674-206718 (2020)

IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Track

Externí odkaz: https://doaj.org/article/ddebc0d9f3ed4c6588ee35f1b72991b9

Research on Wind Power Short-Term Forecasting Method Based on Temporal Convolutional Neural Network and Variational Modal Decomposition

Autor: Jingwei Tang, Ying-Ren Chien

Publikováno v: Sensors, Vol 22, Iss 19, p 7414 (2022)

Wind energy reserves are large worldwide, but their randomness and volatility hinder wind power development. To promote the utilization of wind energy and improve the accuracy of wind power prediction, we comprehensively consider the influence of win

Externí odkaz: https://doaj.org/article/fcbc476c17c347f8ba9a328680560e63

Integration of Deep Learning Network and Robot Arm System for Rim Defect Inspection Application

Autor: Wei-Lung Mao, Yu-Ying Chiu, Bing-Hong Lin, Chun-Chi Wang, Yi-Ting Wu, Cheng-Yu You, Ying-Ren Chien

Publikováno v: Sensors, Vol 22, Iss 10, p 3927 (2022)

Automated inspection has proven to be the most effective approach to maintaining quality in industrial-scale manufacturing. This study employed the eye-in-hand architecture in conjunction with deep learning and convolutional neural networks to automa

Externí odkaz: https://doaj.org/article/865a329ccd4c46c3bd83d17cc40a0911