Lightweight Hybrid Pooling Attention Mechanism: Plug-and-Play for Enhanced Performance

Lightweight Hybrid Pooling Attention Mechanism: Plug-and-Play for Enhanced Performance

Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper link: https://github.com/chenpeng052/SCT-Net Proposed a CNN-Transformer synergistic network, combining the local feature extraction capability of CNNs with the global modeling capability of Transformers. Designed a Twin-Branch Feature Extraction (TBFE) module, which uses 2D and 3D convolutions in parallel to extract spatial and spectral … Read more

Predicting Bank Stock Prices in China Using a CNN-LSTM-ARIMA Hybrid Model with Attention Mechanism

Predicting Bank Stock Prices in China Using a CNN-LSTM-ARIMA Hybrid Model with Attention Mechanism

Full text link:https://tecdat.cn/?p=38195 The stock market plays a significant role in economic development. Due to the high return characteristics of stocks, the stock market has attracted increasing attention from institutions and investors. However, due to the complex volatility of the stock market, it can sometimes lead to significant losses for institutions or investors. Considering the … Read more

A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper Link: https://www.sciencedirect.com/science/article/abs/pii/S1051200425000922 Two-Branch Feature Extraction Module (TBFE): Utilizes 2D and 3D convolutions in parallel to extract spatial and spectral features, effectively fusing multidimensional information. Hybrid Pooling Attention Module (HPA): Combines average pooling and max pooling to achieve information aggregation across spatial dimensions, … Read more

OpenVINO 2025 C++ Deployment of Anomaly Detection Models

OpenVINO 2025 C++ Deployment of Anomaly Detection Models

Click the blue text above to follow us WeChat Official Account:OpenCV Academy Follow us for more knowledge on computer vision and deep learning Introduction to the Padim Model Padim primarily generates feature vectors from a series of normal samples using a CNN network, calculates multiple variance Gaussian matrices of the feature vectors, and obtains the … Read more

A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper Link: https://www.sciencedirect.com/science/article/abs/pii/S1051200425000922 Proposed synergistic CNN-Transformer network, combining the local feature extraction capability of CNNs with the global modeling advantages of Transformers, while processing the spatial and spectral information of HSI. Designed Two-Branch Feature Extraction (TBFE) module, which utilizes 3D convolution (focusing on … Read more

DSP 2025: Plug-and-Play Fusion Pooling Attention Mechanism, Continuously Open Source

DSP 2025: Plug-and-Play Fusion Pooling Attention Mechanism, Continuously Open Source

Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper Link:https://doi.org/10.1016/j.dsp.2025.105070 Collaborative CNN-Transformer Architecture Design A synergistic CNN-Transformer network is proposed, combining the local spatial feature extraction capability of CNNs with the global modeling capability of Transformers, effectively achieving joint modeling of spectral and spatial information in hyperspectral images (HSI). Two-Branch Feature … Read more

(DSP 2025) Hyperspectral Image Classification Module: Plug-and-Play and Completely Crazy

(DSP 2025) Hyperspectral Image Classification Module: Plug-and-Play and Completely Crazy

Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper link: https://doi.org/10.1016/j.dsp.2025.105070 1. Proposed Synergistic CNN-Transformer Network Structure: Combines the local spatial feature extraction capabilities of CNNs with the global spectral modeling capabilities of Transformers to comprehensively extract spatial-spectral features from hyperspectral images (HSI).2. Twin-Branch Feature Extraction Module (TBFE): Parallel combination of … Read more

Nvidia Jetson Nano: Custom Object Detection from Scratch Using TensorFlow and OpenCV

Nvidia Jetson Nano: Custom Object Detection from Scratch Using TensorFlow and OpenCV

Author of this article: Reprinted from: https://medium.com/swlh/nvidia-jetson-nano-custom-object-detection-from-scratch-using-tensorflow-and-opencv-113fe4dba134 The purpose of this blog is to guide users in creating a custom object detection model optimized for performance to be used on the NVidia Jetson Nano. Table of Contents: Required Materials Creating a Custom Dataset Preprocessing Labeling Creating TFRecords CNN Training Model Installing Raspberry Pi Camera on … Read more

Implementing MTF-CNN-Multihead-Attention Markov Transition Field Convolutional Network for Multi-Feature Classification Prediction in Matlab

Implementing MTF-CNN-Multihead-Attention Markov Transition Field Convolutional Network for Multi-Feature Classification Prediction in Matlab

βœ… Author Bio: A Matlab simulation developer passionate about research, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and scientific simulation. 🍎 Previous reviews, follow the personal homepage:Matlab Research Studio 🍊 Personal motto: Investigate things to gain knowledge, complete Matlab code and simulation consultation available via private message. πŸ”₯ Content … Read more

License Plate Recognition Based on MATLAB GUI Convolutional Neural Network (CNN) with Source Code

License Plate Recognition Based on MATLAB GUI Convolutional Neural Network (CNN) with Source Code

βœ… Author Introduction: A MATLAB simulation developer passionate about research, improving both mindset and technology. For MATLAB project collaboration, feel free to contact me. πŸ† How to Obtain Code: QQ:912100926 ⛳️ Motto: A journey of a hundred miles begins with a single step. ## β›„ 1. Introduction to CNN License Plate Recognition 1 License Plate … Read more