2025
Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute Loss
CVPR 2025poster
Despite recent advances in deep texture recognition, existing methods still lack representational diversity and struggle to capture and preserve discriminative cues across stages of representation hierarchies. Moreover, many rely on loss formulations that prioritize recognition accuracy while overlo…