Image set classification and face recognition have emerged as pivotal domains within computer vision, addressing the inherent variability in images obtained from real-world environments.

The method combines bionic pattern recognition (BPR) with CNN, which can fully utilize the geometric structure of the high-dimensional feature space to achieve better classification performance ...

Learn how to train AI models for image recognition and classification. This guide provides an overview of what you need to accomplish image ...

The method combines bionic pattern recognition (BPR) with CNN, which can fully utilize the geometric structure of the high-dimensional feature space to achieve better classification performance ...

In contrast, image recognition classification methods using continuous multi-scale feature learning networks can automatically extract features from images at multiple scales, avoiding the tedious ...

In addition, this image recognition classification method solves the problem of limited data volume and limited computational resources in the field of computer vision.

The company presented a new algorithm for blending image-recognition software methods with techniques for weighting and ranking images that look most similar. (From The New York Times) ...