Fashion Outfit Complementary Item Retrieval [article]

Yen-Liang Lin, Son Tran, Larry S. Davis
2020 arXiv   pre-print
Complementary fashion item recommendation is critical for fashion outfit completion. Existing methods mainly focus on outfit compatibility prediction but not in a retrieval setting. We propose a new framework for outfit complementary item retrieval. Specifically, a category-based subspace attention network is presented, which is a scalable approach for learning the subspace attentions. In addition, we introduce an outfit ranking loss that better models the item relationships of an entire
more » ... We evaluate our method on the outfit compatibility, FITB and new retrieval tasks. Experimental results demonstrate that our approach outperforms state-of-the-art methods in both compatibility prediction and complementary item retrieval
arXiv:1912.08967v2 fatcat:dh2dcsm3yfbn5hgz42m3k4nq2q