RGB-D salient object detection based on BC2 FNet network by WANG Feng, CHENG Yongmei

“…Aiming at this problem, a boundary-driven cross-modal and cross-layer fusion network (BC2FNet) for RGB-D salient object detection is proposed in this paper, which preserves the boundary of the object by adding the guidance of boundary information to the cross-modal and cross-layer fusion, respectively. …”
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Axial-FNet: skin cancer image segmentation model based on fuzzy convolution combined with gated axial self-attention by JIANG Shu, CHEN Kun, DING Weiping, ZHOU Tianyi, ZHU Yue

“…Aiming at the above problems, a skin cancer image segmentation model Axial-FNet based on fuzzy convolution combined with gated axial self-attention was proposed. …”
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M2FNet: multi-modality multi-level fusion network for segmentation of acute and sub-acute ischemic stroke by Shannan Chen, Xuanhe Zhao, Yang Duan, Ronghui Ju, Peizhuo Zang, Shouliang Qi

“…The codes of M2FNet are available at https://github.com/ShannanChen/MMFNet .…”
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Robust Optical and SAR Image Matching via Attention-Guided Structural Encoding and Confidence-Aware Filtering by Qi Kang, Jixian Zhang, Guoman Huang, Fei Liu

“…The proposed method integrates a structure-enhanced feature extractor, RS2FNet, which combines dual-stage Res2Net modules with a bi-level routing attention mechanism to capture multi-scale local textures and global structural semantics. …”
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Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions by Daniel A. Serino, Evan Bell, Marc Klasky, Ben S. Southworth, Balasubramanya Nadiga, Trevor Wilcox, Oleg Korobkin

“…Our machine learning (ML)-based methodology involves a pipeline of two architectures, a radiograph-to-features network (R2FNet) and a features-to-parameters network (F2PNet), that are trained independently and later combined to approximate a posterior distribution for the parameters from radiographs. …”
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Density-Aware Tree–Graph Cross-Message Passing for LiDAR Point Cloud 3D Object Detection by Jingwen Zhao, Jianchao Li, Wei Zhou, Haohao Ren, Yunliang Long, Haifeng Hu

“…Specifically, under the moderate difficulty setting, DA-TGCMP outperforms VoPiFNet by approximately 2.59%, 0.49%, and 3.05% in the car, pedestrian, and cyclist categories, respectively.…”
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A Precise and Scalable Indoor Positioning System Using Cross-Modal Knowledge Distillation by Hamada Rizk, Ahmed Elmogy, Mohamed Rihan, Hirozumi Yamaguchi

“…At the core of <i>DistilLoc</i>, the FNet architecture is employed for its computational efficiency and capacity to capture complex relationships among RSSI signals from multiple access points. …”
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