Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval

arXiv:2301.13014v2 Announce Type: replace-cross
Abstract: Fine-grained fashion retrieval searches for items that share a similar attribute with the query image. Most existing methods use a pre-trained feature extractor (e.g., ResNet 50) to capture image representations. However, a pre-trained feature backbone is typically trained for image classification and object detection, which are fundamentally different tasks from fine-grained fashion retrieval. Therefore, existing methods suffer from a feature gap problem when directly using the pre-trained backbone for fine-tuning. To solve this problem, we …

arxiv attention cs.ai cs.cv cs.ir cs.lg fashion fine-grained network retrieval type