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Image Retrieval

157 papers with code · Computer Vision

Image retrieval systems aim to find similar images to a query image among an image dataset.

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Latest papers with code

Symmetrical Synthesis for Deep Metric Learning

31 Jan 2020clovaai/symmetrical-synthesis

Secondly, it performs hard negative pair mining within the original and synthetic points to select a more informative negative pair for computing the metric learning loss.

IMAGE RETRIEVAL METRIC LEARNING SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY

33
31 Jan 2020

Hyperbolic Image Embeddings

ICLR 2020 hyperbolic-embeddings/hyperbolic-image-embeddings

Computer vision tasks such as image classification, image retrieval and few-shot learning are currently dominated by Euclidean and spherical embeddings, so that the final decisions about class belongings or the degree of similarity are made using linear hyperplanes, Euclidean distances, or spherical geodesic distances (cosine similarity).

FEW-SHOT LEARNING IMAGE CLASSIFICATION IMAGE RETRIEVAL

5
01 Jan 2020

Cross-Batch Memory for Embedding Learning

14 Dec 2019bnu-wangxun/Deep_Metric

Mining informative negative instances are of central importance to deep metric learning (DML).

IMAGE RETRIEVAL METRIC LEARNING

449
14 Dec 2019

12-in-1: Multi-Task Vision and Language Representation Learning

5 Dec 2019jiasenlu/vilbert_beta

Much of vision-and-language research focuses on a small but diverse set of independent tasks and supporting datasets often studied in isolation; however, the visually-grounded language understanding skills required for success at these tasks overlap significantly.

IMAGE RETRIEVAL QUESTION ANSWERING REPRESENTATION LEARNING VISUAL QUESTION ANSWERING

217
05 Dec 2019

Guided Similarity Separation for Image Retrieval

NeurIPS 2019 layer6ai-labs/GSS

Despite recent progress in computer vision, image retrieval remains a challenging open problem.

IMAGE RETRIEVAL

37
01 Dec 2019

Orthogonal Convolutional Neural Networks

27 Nov 2019samaonline/Orthogonal-Convolutional-Neural-Networks

Empirically, we show that the uniform spectrum and reduced feature redundancy may account for the gain in performance and robustness under adversarial attacks.

IMAGE RETRIEVAL

3
27 Nov 2019

Fast and Incremental Loop Closure Detection Using Proximity Graphs

25 Nov 2019AnshanTJU/FILD

Visual loop closure detection, which can be considered as an image retrieval task, is an important problem in SLAM (Simultaneous Localization and Mapping) systems.

IMAGE RETRIEVAL LOOP CLOSURE DETECTION SIMULTANEOUS LOCALIZATION AND MAPPING

44
25 Nov 2019

Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries

NeurIPS 2019 uvavision/DrillDown

We show that using multiple rounds of natural language queries as input can be surprisingly effective to find arbitrarily specific images of complex scenes.

IMAGE RETRIEVAL

4
10 Nov 2019