Image Classification Comparison Hub
5 papers - avg viability 6.0
Top Papers
- HELM: Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label Image Classification(7.0)
HELM is a novel framework for hierarchical multi-label classification that leverages graph learning and self-supervised techniques to enhance label modeling in remote sensing imagery.
- Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta(6.0)
Develop a robust image classification tool for intangible cultural heritage images using model soups for enhanced generalization on low-resource datasets.
- A saccade-inspired approach to image classification using visiontransformer attention maps(6.0)
A novel image classification method inspired by human saccadic attention using Vision Transformer attention maps.
- Single Pixel Image Classification using an Ultrafast Digital Light Projector(6.0)
An ultrafast image classification system using single pixel imaging for real-time applications.
- Causal-Driven Feature Evaluation for Cross-Domain Image Classification(5.0)
A causal-driven framework for improving out-of-distribution image classification in multi-domain environments.