EfficientRMT-Net—An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases
The primary objective of this study is to develop an advanced, automated system for the
early detection and classification of leaf diseases in potato plants, which are among the most …
early detection and classification of leaf diseases in potato plants, which are among the most …
Self-enhanced mixed attention network for three-modal images few-shot semantic segmentation
As an important computer vision technique, image segmentation has been widely used in
various tasks. However, in some extreme cases, the insufficient illumination would result in a …
various tasks. However, in some extreme cases, the insufficient illumination would result in a …
Detection of Large Foreign Objects on Coal Mine Belt Conveyor Based on Improved
K Huang, S Li, F Cai, R Zhou - Processes, 2023 - mdpi.com
An algorithm based on the YOLOv5 model is proposed to address safety incidents such as
tearing and blockage at transfer points on belt conveyors in coal mines caused by foreign …
tearing and blockage at transfer points on belt conveyors in coal mines caused by foreign …
[HTML][HTML] CMGNet: Context-aware middle-layer guidance network for salient object detection
Salient object detection (SOD) is a critical task in computer vision that involves accurately
identifying and segmenting visually significant objects in an image. To address the …
identifying and segmenting visually significant objects in an image. To address the …
Parallel Adaptive Network for Polyp Segmentation
X Yu, Y Zhong, X Yan, M Jian, H Liu… - 2023 IEEE Smart World …, 2023 - ieeexplore.ieee.org
This paper proposes a parallel adaptive network named PA-Net for polyp segmentation,
which enables to dynamically adjust convolution kernels and attention weights according to …
which enables to dynamically adjust convolution kernels and attention weights according to …