Perceptual misalignment of texture representations in convolutional neural networks

Perceptual misalignment of texture representations in convolutional neural networks explores This research investigates the disconnect between how convolutional neural networks represent textures and human perception, suggesting current object recognition models are insufficient for understanding texture perception.. Commercial viability score: 2/10 in Computer Vision Research.