Conditioned and composed image retrieval extend CBIR systems by combining a query
image with an additional text that expresses the intent of the user, describing additional …

In this paper, we present an approach for conditioned and composed image retrieval based
on CLIP features. In this extension of content-based image retrieval (CBIR) an image is …

Given a query composed of a reference image and a relative caption, the Composed Image
Retrieval goal is to retrieve images visually similar to the reference one that integrates the …

We extend the task of composed image retrieval, where an input query consists of an image
and short textual description of how to modify the image. Existing methods have only been …

We present an approach named Dual Composition Network (DCNet) for interactive image
retrieval that searches for the best target image for a natural language query and a reference …

Image Retrieval is a fundamental task of obtaining images similar to the query one from a
database. A common image retrieval practice is to firstly retrieve candidate images via …

Instance-level image retrieval is the task of searching in a large database for images that
match an object in a query image. To address this task, systems usually rely on a retrieval …

In this paper, we investigate the problem of retrieving images from a database based on a
multi-modal (image-text) query. Specifically, the query text prompts some modification in the …

Composed image retrieval (CIR) is a new and flexible image retrieval paradigm, which can
retrieve the target image for a multimodal query, including a reference image and its …

Effective fashion image retrieval with text feedback stands to impact a range of real-world
applications, such as e-commerce. Given a source image and text feedback that describes …