A5091229368- Advanced Neural Network Applications
- Advanced Image Fusion Techniques
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Remote-Sensing Image Classification
Zhengzhou University of Light Industry
2022-2024
Fine-grained image classification is a popular research topic in computer vision and pattern recognition, where the goal to recognize classify subclasses of objects images at fine-grained level. In recent years, Transformer's self-attention mechanism has been increasingly introduced into tasks due its ability naturally focus on most discriminative regions object. this paper, new Convolutionally Enhanced Feature Fusion Visual Transformer method proposed based by introducing convolutional...
Fine grain image is an important research field of recognition, which can classify objects in more detail. Image feature extraction usually implemented by bilinear network, meet the desired effect extraction, but also discard some detailed information. In this study, a fine-grained classification optimization algorithm that combines target detection method YOLOv7 and multi-feature fusion network proposed to achieve classification. method, used locate target, recognition content extracted...