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Content-Based Image Retrieval

12 papers with code · Computer Vision
Subtask of Image Retrieval

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Dual-Path Convolutional Image-Text Embedding with Instance Loss

15 Nov 2017layumi/Image-Text-Embedding

In this paper, we propose a new system to discriminatively embed the image and text to a shared visual-textual space.

CONTENT-BASED IMAGE RETRIEVAL CROSS-MODAL RETRIEVAL PERSON RETRIEVAL TEXTURE IMAGE RETRIEVAL

Combination of Multiple Global Descriptors for Image Retrieval

arXiv 2019 naver/cgd

In the benchmark evaluation, the proposed framework achieves the state-of-the-art performance on the CARS196, CUB200-2011, In-shop Clothes and Stanford Online Products on image retrieval tasks by a large margin compared to competing approaches.

CONTENT-BASED IMAGE RETRIEVAL

Content-based image retrieval tutorial

12 Aug 2016kirk86/ImageRetrieval

This paper functions as a tutorial for individuals interested to enter the field of information retrieval but wouldn't know where to begin from.

CONTENT-BASED IMAGE RETRIEVAL INFORMATION RETRIEVAL

Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval

28 Mar 2015li-xirong/jingwei

Where previous reviews on content-based image retrieval emphasize on what can be seen in an image to bridge the semantic gap, this survey considers what people tag about an image.

CONTENT-BASED IMAGE RETRIEVAL

Classification is a Strong Baseline for Deep Metric Learning

30 Nov 2018azgo14/classification_metric_learning

Deep metric learning aims to learn a function mapping image pixels to embedding feature vectors that model the similarity between images.

CONTENT-BASED IMAGE RETRIEVAL FACE VERIFICATION METRIC LEARNING

Automatic Query Image Disambiguation for Content-Based Image Retrieval

2 Nov 2017cvjena/aid

Query images presented to content-based image retrieval systems often have various different interpretations, making it difficult to identify the search objective pursued by the user.

CONTENT-BASED IMAGE RETRIEVAL

Convex Formulation of Multiple Instance Learning from Positive and Unlabeled Bags

22 Apr 2017levelfour/pumil

Multiple instance learning (MIL) is a variation of traditional supervised learning problems where data (referred to as bags) are composed of sub-elements (referred to as instances) and only bag labels are available.

CONTENT-BASED IMAGE RETRIEVAL MULTIPLE INSTANCE LEARNING TEXT CATEGORIZATION

Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval

29 Jan 2019liuzrcc/PIRE

An adversarial query is an image that has been modified to disrupt content-based image retrieval (CBIR) while appearing nearly untouched to the human eye.

CONTENT-BASED IMAGE RETRIEVAL

Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images

9 Aug 2019cvjena/eu-flood-dataset

The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to a coarse distribution of sensors or sensor failures.

CONTENT-BASED IMAGE RETRIEVAL

Information-Theoretic Active Learning for Content-Based Image Retrieval

7 Sep 2018cvjena/ITAL

We propose Information-Theoretic Active Learning (ITAL), a novel batch-mode active learning method for binary classification, and apply it for acquiring meaningful user feedback in the context of content-based image retrieval.

ACTIVE LEARNING CONTENT-BASED IMAGE RETRIEVAL