Micro-Expression Recognition

15 papers with code • 1 benchmarks • 1 datasets

Facial Micro-Expression Recognition is a challenging task in identifying suppressed emotion in a high-stake environment, often comes in very brief duration and subtle changes.

Datasets


Most implemented papers

Data Leakage and Evaluation Issues in Micro-Expression Analysis

tvaranka/meb 21 Nov 2022

Micro-expressions have drawn increasing interest lately due to various potential applications.

Micron-BERT: BERT-based Facial Micro-Expression Recognition

uark-cviu/micron-bert CVPR 2023

By incorporating these components into an end-to-end deep network, the proposed $\mu$-BERT significantly outperforms all previous work in various micro-expression tasks.

HTNet for micro-expression recognition

wangzhifengharrison/htnet 27 Jul 2023

The transformer layer is used to focus on representing local minor muscle movement with local self-attention in each area.

GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition

zeroqiaoba/gpt4v-emotion 7 Dec 2023

To bridge this gap, we present the quantitative evaluation results of GPT-4V on 21 benchmark datasets covering 6 tasks: visual sentiment analysis, tweet sentiment analysis, micro-expression recognition, facial emotion recognition, dynamic facial emotion recognition, and multimodal emotion recognition.

GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing

lupaopao/gpt4affectivity 9 Mar 2024

In conclusion, this paper provides valuable insights into the potential applications and challenges of MLMs in human-centric computing.