Yue He

Contrastive Learning for Large-scale Color-Name Dataset: Tackling Sparsity with Negative Sampling

Large-scale color datasets exhibit significant sparsity in name-color correspondences, substantially impeding the effectiveness of conventional methodologies. We propose a contrastive learning-based framework for color name generation and recommendation that addresses sparsity through negative sampling, supporting two…