2024年8月21日 · In this paper, we aim to enhance MLLMs' capabilities in understanding facial expressions. We first generate instruction data for five FER datasets with Gemini. We then …

Official Implementation for EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning Resources

Additionally, we propose Emotion-LLaMA, a model that seamlessly integrates audio, visual, and textual inputs through emotion-specific encoders. By aligning features into a shared space and …

2024年6月17日 · By aligning features into a shared space and employing a modified LLaMA model with instruction tuning, Emotion-LLaMA significantly enhances both emotional …

Emotion-LLaMA 是一款多模态情绪识别与推理模型，融合了音频、视觉和文本输入，通过特定情绪编码器整合信息。 模型基于修改版 LLaMA，经过指令调整以提升情感识别能力。

2024年8月21日 · In this paper, we aim to enhance MLLMs' capabilities in understanding facial expressions. We first generate instruction data for five FER datasets with Gemini. We then …

Official Implementation for EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning - xxtars/EMO-LLaMA

本文针对面部表情识别（fer）在泛化能力和语义信息对齐方面的不足，提出了一种新颖的多模态大型语言模型emo-llama。 通过使用预训练的面部分析网络和设计面部信息挖掘模块，实验表 …

Emollama-7b is part of the EmoLLMs project, the first open-source large language model (LLM) series for comprehensive affective analysis with instruction-following capability. This model is …

2024年8月21日 · In this paper, we aim to enhance MLLMs’ capabilities in understanding facial expressions. We first generate instruction data for five FER datasets with Gemini. We then …