mlsanityData to 14 Oct 2026

ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation

arXiv 2407.17772 ↗First posted 25 Jul 2024cs.CV cs.CL cs.CYcited by 1

Not on the map. Why?

Abstract (arXiv)

ERIT is a novel multimodal dataset designed to facilitate research in a lightweight multimodal fusion. It contains text and image data collected from videos of elderly individuals reacting to various situations, as well as seven emotion labels for each data sample. Because of the use of labeled images of elderly users reacting emotionally, it is also facilitating research on emotion recognition in an underrepresented age group in machine learning visual emotion recognition. The dataset is validated through comprehensive experiments indicating its importance in neural multimodal fusion research.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 17 references that are in the map. First posted on arXiv 25 Jul 2024.

Builds on

5 of 17 references.

References · 5

  1. 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,386
  2. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
  3. 2023LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attentioncited by 781
  4. 2023GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognitioncited by 38
  5. 2020Pose-based Body Language Recognition for Emotion and Psychiatric Symptom Interpretationcited by 6

Built on by

Cited by year

Citing papers per year: 2024: 1.

1 paper.