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Found 3 papers, 1 papers with code
Overview of Class Activation Maps for Visualization Explainability
Recent research in deep learning methodology has led to a variety of complex modelling techniques in computer vision (CV) that reach or even outperform human performance.
PRE: Vision-Language Prompt Learning with Reparameterization Encoder
In this work, we present Prompt Learning with Reparameterization Encoder (PRE) - a simple and efficient method that enhances the generalization ability of the learnable prompt to unseen classes while maintaining the capacity to learn Base classes.
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Few-Shot Image Classification
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Using network metrics to explore the community structure that underlies movement patterns
This work aims to explore the community structure of Santiago de Chile by analyzing the movement patterns of its residents.
