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Hi, I want to know how to calculate the metrics of emotion transfer task in this paper, especially CLIP-img and CLIP-txt. I didn't find the calculation method in the related literature.
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Hi everyone, I'm a new member of the group. Glad to have read the detailed instructions in the README and the previous discussions. I completed the voice training after 3 steps:
- Step 1: train with …
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### Describe the proposed feature and its relevance to inferencing
Add IREE and Godot Engine demos
### Context or use case
How can we should the world IREE and Godot Engine is cool.
### Pr…
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Problem Description:
Multiclass classification of facial emotions from grayscale images.
MODELS IMPLEMENTED
Convolutional Neural Network (for baseline model)
MobileNetV2 (for transfer-learning…
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I've seen other code that's been added to fsgan to attempt to inject emotion.
https://github.com/BigBey/emotion_transfer/commit/24637fcf10a871dc7dc1a9c6681a655509c39c4e
because the architecture is…
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I want to train different transfer learning model on emotion detection so that we get good accuracy and less loss.
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# Objective
a web app where you upload a picture and it detects the emotions on the faces! We can build this using a Convolutional Neural Network (CNN) trained to recognize emotions. To jumpstart t…
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This thread is created to track the progress in the CNN/transfer learning research.
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Found an implementation/tutorial on CNN transfer learning and experimented it with our RAVDESS dataset. Wi…
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## 0. 論文
Journal/Conference: **ACL 2020**
Title: **Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge**
Authors: Bowen Zhang, Min Yang, Xutao Li, Yunming Ye, Xi…
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At first I was somewhat impressed, using a male voice as source and a female voice as target that was 30 seconds long and noise-cleaned by AI. It pretty much made the source wav sound like a prebubesc…