Adaptive weight based on overlapping blocks network for facial expression recognition

作者：

Highlights：

• Adaptive Weight Based on Overlapping Blocks Network for Facial Expression Recognition.

• Feature map blocking to extract local features of the network to improve performance.

• The relevant information between local features to achieve effective performance.

• Performance of local network for facial expressions that are occluded and posture.

摘要

•Adaptive Weight Based on Overlapping Blocks Network for Facial Expression Recognition.•Feature map blocking to extract local features of the network to improve performance.•The relevant information between local features to achieve effective performance.•Performance of local network for facial expressions that are occluded and posture.

论文关键词：Facial expression recognition,Feature map block,Adaptive weight,Deep learning

论文评审过程：Received 16 September 2021, Revised 23 November 2021, Accepted 24 January 2022, Available online 1 February 2022, Version of Record 8 February 2022.

论文官网地址：https://doi.org/10.1016/j.imavis.2022.104399