Other Tokens Matter: Exploring Global and Local Features of Vision Transformers for Object Re-Identification

arXiv:2404.14985v1 Announce Type: new
Abstract: Object Re-Identification (Re-ID) aims to identify and retrieve specific objects from images captured at different places and times. Recently, object Re-ID has achieved great success with the advances of Vision Transformers (ViT). However, the effects of the global-local relation have not been fully explored in Transformers for object Re-ID. In this work, we first explore the influence of global and local features of ViT and then further propose a novel Global-Local Transformer (GLTrans) for high-performance …

abstract advances arxiv cs.cv cs.mm effects features global however identification identify images matter object objects success tokens transformers type vision vision transformers vit