ZebangCheng

**A1)** When aiming to improve the model's *generalization ability*, we train both the reasoning and recognition tasks simultaneously and utilize five diverse prompts per task. This helps the model handle...

**A1)** Sorry, I'm not sure about the exact reason. It's possible that the MER2025 dataset has adopted a new video naming convention, which makes it difficult to directly match the...

**A1)** You can refer to our evaluation results on the DFEW test set, which are presented in two parts: **zero-shot** and **fine-tuning**. * The **zero-shot** results are obtained by testing...

During both **Stage 1 and Stage 2**, we used **prompts with all 9 emotion categories**. However, in Stage 2, the actual training samples only included **6 categories** (happy, sad, neutral,...

In the initial phase of the project, we used OpenFace's Action Units System to filter the Peak Activation frame from all frames of the video sample. This Peak Activation frame...

Due to space and budget constraints on the Hugging Face platform, our demo does not utilize the Local Encoder and Temporal Encoder features, with their feature vectors set to zero....

The prompts of MiniGPT-v2: > "What do you see in the image? Please describe it using words only.", > "Please describe the content of the image.", The prompts of LLaMA-3:...

According to the dataset usage agreement, I do not have the rights to redistribute the data. You will need to refer to the official website [(http://merchallenge.cn/datasets)](http://merchallenge.cn/datasets), fill out the required...

第一个问题是显存不够：torch.cuda.OutOfMemoryError: CUDA out of memory. 第二个问题是gradio版本不对，如果你的gradio版本高了，gr.Examples组件就会报错。建议使用gradio 3.47.1版本。

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