Image Super-Resolution Reconstruction Based on the Lightweight Hybrid Attention Network
In order to solve the problem that the current image super-resolution model has too many parameters and high computational complexity, this paper proposes a lightweight hybrid attention network (LHAN). LHAN consists of three parts: shallow feature ...
Video Abnormal Action Recognition Based on Multimodal Heterogeneous Transfer Learning
Human abnormal action recognition is crucial for video understanding and intelligent surveillance. However, the scarcity of labeled data for abnormal human actions often hinders the development of high-performance models. Inspired by the multimodal ...
Images Inpainting Quality Evaluation Using Structural Features and Visual Saliency
Despite the extensive research on developing robust image inpainting algorithms in recent years, there are almost no objective metrics for the quality assessment of inpainted images currently. Inspired by the feature coherence in the inpainted image and ...
Design of 3D Environment Combining Digital Image Processing Technology and Convolutional Neural Network
As virtual reality technology advances, 3D environment design and modeling have garnered increasing attention. Applications in networked virtual environments span urban planning, industrial design, and manufacturing, among other fields. However, existing ...
Classification of Gastrointestinal Diseases Using Hybrid Recurrent Vision Transformers With Wavelet Transform
- Liqi Yan,
- Biniyam Mulugeta Abuhayi,
- Yohannes Agegnehu Bezabh,
- Aleka Melese Ayalew,
- Miraf Alemayehu Lakew
Gastrointestinal (GI) diseases are a significant global health issue, causing millions of deaths annually. This study presents a novel method for classifying GI diseases using endoscopy videos. The proposed method involves three major phases: image ...
Fast Visual Tracking with Enhanced and Gradient-Guide Network
The existing Siamese trackers express visual tracking through the cross-correlation operation between two neural networks. Although they dominated the tracking field, their adopted pattern caused two main problems. One is the adoption of the deep ...
