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Found 4 papers, 2 papers with code
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models
In the realm of subject-driven text-to-image (T2I) generative models, recent developments like DreamBooth and BLIP-Diffusion have led to impressive results yet encounter limitations due to their intensive fine-tuning demands and substantial parameter requirements.
CLIPDrawX: Primitive-based Explanations for Text Guided Sketch Synthesis
With the goal of understanding the visual concepts that CLIP associates with text prompts, we show that the latent space of CLIP can be visualized solely in terms of linear transformations on simple geometric primitives like circles and straight lines.
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders
We explore the appropriate SSL tasks that can be optimized alongside the primary task, the training schemes for these tasks, and the data scale at which they can be most effective.
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer Perceptron
Low/High Valence with an average accuracy of 91. 10% and Low/High Arousal with an average accuracy of 91. 02%, b. four classes of emotions viz.
Ranked #1 on
EEG Emotion Recognition
on DEAP
