Implementation of model in which mobilenet as encoder and Unet as decoder. Abstract: Image segmentation is a key topic in image processing and computer vision with applications such as scene ...

the proposed novel UNet with MobileNet model has been utilized to divide skin cancer into seven different classes. The MobileNet approach is used as a classifier instead of a UNet decoder to avoid ...

In this study, automatic SLS was performed using a lightweight encoder-decoder, MobileNetV3-UNet, which can achieve high accuracy with low resources. A comprehensive analysis was performed to improve ...

Introduction: Weeds are a major factor affecting crop yield and quality. Accurate identification and localization of crops and weeds are essential for achieving automated weed management in precision ...

This paper tries to explore underwater objects by applying semantic image segmentation. Proposed model adapted UNet based semantic segmentation network as the basic frame work and extended it for ...

For example, you might use a multi-task learning approach, where you train your encoder-decoder model on multiple related tasks simultaneously, and share some parameters across them. This can ...

MM-UNet achieved the mean Dice score of 79.2% and mean ... Inspired by the structure of U-Net, we developed a multi-encoder and single-decoder model. The network structure is shown in Figure 2. Each ...