Beijing Baidu Netcom Science Technology Co., Ltd

Shao Zeng

Yi Liu

Dianhai Yu

Yanjun Ma

Ying Zhou

Xiaoguang Hu

Yuning Du

Qiwen Liu

Ran Bi

Shengyu Wei

Cheng Cui

Qiao Zhao

Tingquan Gao

Xueying Lyu

Shuilong Dong

Sensen He

The present disclosure provides a method for training a feature extraction model, a method for classifying an image and related apparatuses, and relates to the field of artificial intelligence technology such as deep learning and image recognition. The scheme comprises: extracting an image feature of each sample image in a sample image set using a basic feature extraction module of an initial feature extraction model, to obtain an initial feature vector set; performing normalization processing on each initial feature vector in the initial feature vector set using a normalization processing module of the initial feature extraction model, to obtain each normalized feature vector; and guiding training for the initial feature extraction model through a preset high discriminative loss function, to obtain a target feature extraction model as a training result.

Method for training feature extraction model, method for classifying image, and related apparatuses

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Beijing, China

Shao Zeng