mlsanityData to 7 Oct 2026

Emotion Recognition for In-the-wild Videos

arXiv 2002.05447 ↗First posted 13 Feb 2020cs.CVcited by 8

Not on the map. Why?

Abstract (arXiv)

This paper is a brief introduction to our submission to the seven basic expression classification track of Affective Behavior Analysis in-the-wild Competition held in conjunction with the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020. Our method combines Deep Residual Network (ResNet) and Bidirectional Long Short-Term Memory Network (BLSTM), achieving 64.3% accuracy and 43.4% final metric on the validation set.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Feb 2020.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 2; 2022: 2; 2023: 2; 2024: 2.

8 papers.