Search Results for author: ZhenHua Feng

Found 3 papers, 0 papers with code

MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition

no code implementations ACL 2021 Shuang Wu, Xiaoning Song, ZhenHua Feng

This paper presents a novel Multi-metadata Embedding based Cross-Transformer (MECT) to improve the performance of Chinese NER by fusing the structural information of Chinese characters.

Chinese Named Entity Recognition NER

NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition

no code implementations5 Mar 2021 Syed Safwan Khalid, Muhammad Awais, Chi-Ho Chan, ZhenHua Feng, Ammarah Farooq, Ali Akbari, Josef Kittler

One key ingredient of DCNN-based FR is the appropriate design of a loss function that ensures discrimination between various identities.

Face Recognition

Separable Batch Normalization for Robust Facial Landmark Localization with Cross-protocol Network Training

no code implementations17 Jan 2021 Shuangping Jin, ZhenHua Feng, Wankou Yang, Josef Kittler

Different from the standard BN layer that uses all the training data to calculate a single set of parameters, SepBN considers that the samples of a training dataset may belong to different sub-domains.

Face Alignment

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