Multi-Label Image Retrieval

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Most implemented papers

Improved Deep Hashing with Soft Pairwise Similarity for Multi-label Image Retrieval

pectinid16/IDHN 8 Mar 2018

In this paper, a new deep hashing method is proposed for multi-label image retrieval by re-defining the pairwise similarity into an instance similarity, where the instance similarity is quantified into a percentage based on the normalized semantic labels.

CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing

ushasi/CMIR-NET-A-deep-learning-based-model-for-cross-modal-retrieval-in-remote-sensing 9 Apr 2019

In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multi-spectral imagery, and ii) multi-label image retrieval between very high resolution (VHR) images and speech based label annotations.

Transductive Zero-Shot Hashing for Multilabel Image Retrieval

qinnzou/Zero-Shot-Hashing 17 Nov 2019

Given semantic annotations such as class labels and pairwise similarities of the training data, hashing methods can learn and generate effective and compact binary codes.

HyP$^2$ Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval

jerryxu0129/hyp2-loss 14 Aug 2022

Image retrieval has become an increasingly appealing technique with broad multimedia application prospects, where deep hashing serves as the dominant branch towards low storage and efficient retrieval.