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Mar 12, 2024 · This model uses the multi-resolution fusion module (MRFM), which is known to significantly contribute to the segmentation performance in HRNet, ...
This paper presents an end-to-end 3D convolutional network named attention-based multi-modal fusion network (AMFNet) for the semantic scene completion (SSC) ...
The current study therefore proposes a new model structure for microplastic segmentation. This model uses the multi-resolution fusion module (MRFM), which is ...
The term “microplastic” refers to plastic particles with a length or diameter of less than 5 mm that do not easily decompose in the natural environment and ...
Microplastic Binary Segmentation with Resolution Fusion and Large Convolution Kernels. ... Neural Network Analysis for Microplastic Segmentation. Sensors ...
The dataset comprises high-resolution microscopic images of microplastics collected from sewage, meticulously labeled for both segmentation and detection tasks, ...
Microplastic Binary Segmentation with Resolution Fusion and Large Convolution Kernels. J. Comput. Sci. Eng. 18(1): 29-35 (2024). [j12]. view. electronic ...
Microplastic Binary Segmentation with Resolution Fusion and Large Convolution Kernels ... Segmentation of Brain Tumors in Magnetic Resonance Imaging.
May 20, 2024 · The dataset comprises high-resolution microscopic images of microplastics collected from sewage, meticulously labeled for both segmentation and ...
We propose a novel deep multi-feature learning framework for the semantic segmentation of VHR RSIs, dubbed MFNet.