Web11 de abr. de 2024 · Highlight: Here we propose DiffPool, a differentiable graph pooling module that can generate hierarchical representations of graphs and can be combined with various graph neural network architectures in an end-to-end fashion. ZHITAO YING et. al. 2024: 5: Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy … Web[48] Zhou S. et al., “ Hierarchical and interactive refinement network for edge-preserving salient object detection,” IEEE Trans. Image Process., vol. 30, pp. 1 – 14, 2024. Google Scholar Digital Library
(PDF) Feature Pyramid and Hierarchical Boosting Network …
Web27 de out. de 2024 · Herein, we demonstrate the proof of the concept of boosting molecular diffusion by constructing hierarchical Murray zeolites presenting a highly ordered and fully interconnected macro–meso–microporous structure whose pore-size ratio at each length scale is rationally modulated based on the generalized Murray's Law. Web21 de out. de 2024 · Airborne laser scanning (ALS) can acquire both geometry and intensity information of geo-objects, which is important in mapping a large-scale three-dimensional (3D) urban environment. However, the intensity information recorded by ALS will be changed due to the flight height and atmospheric attenuation, which decreases the … flower delivery for baby boy
HG-FCN: Hierarchical Grid Fully Convolutional Network for Fast …
WebYang, F., Zhang, L., Yu, S., Prokhorov, D., Mei, X., & Ling, H. (2024). Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection. Web18 de jan. de 2024 · A novel network architecture, named feature pyramid and hierarchical boosting network (FPHBN), is proposed, Inspired by recent advances of deep … Web18 de jan. de 2024 · The proposed network integrates semantic information to low-level features for crack detection in a feature pyramid way. And, it balances the contribution of … greek river associated with the underworld