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Found 6 papers, 2 papers with code
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers
This task is particularly challenging in scenarios where data is scarce.
Single-image Full-body Human Relighting
We present a single-image data-driven method to automatically relight images with full-body humans in them.
The joint role of geometry and illumination on material recognition
In this work, we perform a comprehensive and systematic analysis of how the interplay of geometry, illumination, and their spatial frequencies affects human performance on material recognition tasks.
A Similarity Measure for Material Appearance
We present a model to measure the similarity in appearance between different materials, which correlates with human similarity judgments.
Learning icons appearance similarity
Selecting an optimal set of icons is a crucial step in the pipeline of visual design to structure and navigate through content.
Transfer Learning for Illustration Classification
In this paper, we use transfer learning techniques to propose a new classification network with better performance in illustration images.
