2 code implementations • 8 Jan 2024 • Minglong Xue, Jinhong He, Wenhai Wang, Mingliang Zhou
Moreover, to further promote the effective recovery of the image details, we combine the Fourier transform based on the wavelet transform and construct a Hybrid High Frequency Perception Module (HFPM) with a significant perception of the detailed features.
1 code implementation • 27 Jul 2023 • Bo Yang, Xinyu Zhang, Jian Zhang, Jun Luo, Mingliang Zhou, Yangjun Pi
To address this problem, we propose a new adaptive threshold focal loss (ATFL) function that decouples the target and the background, and utilizes the adaptive mechanism to adjust the loss weight to force the model to allocate more attention to target features.
1 code implementation • 5 Aug 2022 • Xigran Liao, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Mingliang Zhou, Sam Kwong
Existing deep learning-based full-reference IQA (FR-IQA) models usually predict the image quality in a deterministic way by explicitly comparing the features, gauging how severely distorted an image is by how far the corresponding feature lies from the space of the reference images.
no code implementations • COLING 2020 • Tianyi Liu, Xiangyu Lin, Weijia Jia, Mingliang Zhou, Wei Zhao
Distantly supervised relation extraction has been widely applied in knowledge base construction due to its less requirement of human efforts.