VISUAL STIMULUS RECONSTRUCTION BASED ON EEG SIGNALS USING STABLE DIFFUSION MODEL WITH CONTRASTIVE LEARNING APPROACH
In recent years, models have been developed to reconstruct visual stimulus images based on EEG signals. A popular approach currently used is contrastive learning, as it enables training with unlabeled data. However, several datasets utilized in existing studies were collected using the block desi...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/87995 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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