Papers Composed Image Retrieval (CoIR)
“Composed Image Retrieval (CoIR)” 태그가 달린 논문 14편 · 필터 해제
Composed Image Retrieval for Remote Sensing
This work introduces composed image retrieval to remote sensing. It allows to query a large image archive by image examples alternated by a textual description, enriching the descriptive power over unimodal queries, eith…
Composed Image Retrieval (CoIR)DescriptiveImage RetrievalLanguage Modeling+3iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
Given a query consisting of a reference image and a relative caption, Composed Image Retrieval (CIR) aims to retrieve target images visually similar to the reference one while incorporating the changes specified in the r…
BenchmarkingComposed Image Retrieval (CoIR)Image RetrievalRetrieval+1Sentence-level Prompts Benefit Composed Image Retrieval
Composed image retrieval (CIR) is the task of retrieving specific images by using a query that involves both a reference image and a relative caption. Most existing CIR models adopt the late-fusion strategy to combine vi…
AttributeComposed Image Retrieval (CoIR)Image RetrievalRetrieval+1CoVR-2: Automatic Data Construction for Composed Video Retrieval
Composed Image Retrieval (CoIR) has recently gained popularity as a task that considers both text and image queries together, to search for relevant images in a database. Most CoIR approaches require manually annotated d…
Composed Image Retrieval (CoIR)Composed Video Retrieval (CoVR)Image RetrievalLanguage Modelling+5Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
Composed image retrieval aims to find an image that best matches a given multi-modal user query consisting of a reference image and text pair. Existing methods commonly pre-compute image embeddings over the entire corpus…
Composed Image Retrieval (CoIR)Image RetrievalRerankingRe-Ranking+2Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
Composed image retrieval searches for a target image based on a multi-modal user query comprised of a reference image and modification text describing the desired changes. Existing approaches to solving this challenging …
Composed Image Retrieval (CoIR)Image RetrievalPrompt LearningRetrievalZero-Shot Composed Image Retrieval with Textual Inversion
Composed Image Retrieval (CIR) aims to retrieve a target image based on a query composed of a reference image and a relative caption that describes the difference between the two images. The high effort and cost required…
Composed Image Retrieval (CoIR)Image RetrievalRetrievalZero-Shot Composed Image Retrieval (ZS-CIR)CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
This paper proposes a novel diffusion-based model, CompoDiff, for solving zero-shot Composed Image Retrieval (ZS-CIR) with latent diffusion. This paper also introduces a new synthetic dataset, named SynthTriplets18M, wit…
Composed Image Retrieval (CoIR)Image RetrievalRetrievalZero-Shot Composed Image Retrieval (ZS-CIR)Data Roaming and Quality Assessment for Composed Image Retrieval
The task of Composed Image Retrieval (CoIR) involves queries that combine image and text modalities, allowing users to express their intent more effectively. However, current CoIR datasets are orders of magnitude smaller…
Composed Image Retrieval (CoIR)Image RetrievalRetrievalPic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
In Composed Image Retrieval (CIR), a user combines a query image with text to describe their intended target. Existing methods rely on supervised learning of CIR models using labeled triplets consisting of the query imag…
AttributeComposed Image Retrieval (CoIR)Image RetrievalRetrieval+2Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
We investigate composed image retrieval with text feedback. Users gradually look for the target of interest by moving from coarse to fine-grained feedback. However, existing methods merely focus on the latter, i.e., fine…
Composed Image Retrieval (CoIR)Image RetrievalImage Retrieval with Multi-Modal QueryRetrievalConditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based Features
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 combined with a text that provides informa…
Composed Image Retrieval (CoIR)Content-Based Image RetrievalContrastive LearningImage Retrieval+1Effective Conditioned and Composed Image Retrieval Combining CLIP-Based Features
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 requests w.r.t. the visual content of the q…
Composed Image Retrieval (CoIR)Contrastive LearningImage RetrievalRetrievalImage Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
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 applied to non-complex images within nar…
Composed Image Retrieval (CoIR)Image RetrievalRetrievalVisual Reasoning