Papers Multi-Label Image Retrieval
“Multi-Label Image Retrieval” 태그가 달린 논문 10편 · 필터 해제
HyP$^2$ Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval
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. In this paper, we …
Deep HashingImage RetrievalMetric LearningMulti-Label Image Retrieval+1Instance-weighted Central Similarity for Multi-label Image Retrieval
Deep hashing has been widely applied to large-scale image retrieval by encoding high-dimensional data points into binary codes for efficient retrieval. Compared with pairwise/triplet similarity based hash learning, centr…
Deep HashingImage RetrievalMulti-Label Image RetrievalRetrieval+1Online Hashing with Similarity Learning
Online hashing methods usually learn the hash functions online, aiming to efficiently adapt to the data variations in the streaming environment. However, when the hash functions are updated, the binary codes for the whol…
Image RetrievalMetric LearningMulti-Label Image RetrievalRetrievalBigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval
This paper presents the multi-modal BigEarthNet (BigEarthNet-MM) benchmark archive made up of 590,326 pairs of Sentinel-1 and Sentinel-2 image patches to support the deep learning (DL) studies in multi-modal multi-label …
image-classificationImage ClassificationImage RetrievalMulti-Label Image Retrieval+3Transductive Zero-Shot Hashing for Multilabel Image Retrieval
Hash coding has been widely used in approximate nearest neighbor search for large-scale image retrieval. Given semantic annotations such as class labels and pairwise similarities of the training data, hashing methods can…
Image RetrievalMulti-Label Image RetrievalQuantizationRetrievalCMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing
We address the problem of cross-modal information retrieval in the domain of remote sensing. In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multi-sp…
Cross-Modal Information RetrievalCross-Modal RetrievalImage RetrievalInformation Retrieval+2Hierarchy Neighborhood Discriminative Hashing for An Unified View of Single-Label and Multi-Label Image retrieval
Recently, deep supervised hashing methods have become popular for large-scale image retrieval task. To preserve the semantic similarity notion between examples, they typically utilize the pairwise supervision or the trip…
Image RetrievalMulti-Label Image RetrievalRetrievalSemantic Similarity+2Improved Deep Hashing with Soft Pairwise Similarity for Multi-label Image Retrieval
Hash coding has been widely used in the approximate nearest neighbor search for large-scale image retrieval. Recently, many deep hashing methods have been proposed and shown largely improved performance over traditional …
Deep HashingImage RetrievalMulti-Label Image RetrievalRetrievalInstance-Aware Hashing for Multi-Label Image Retrieval
Similarity-preserving hashing is a commonly used method for nearest neighbour search in large-scale image retrieval. For image retrieval, deep-networks-based hashing methods are appealing since they can simultaneously le…
Image RetrievalMulti-Label Image RetrievalRetrievalDeep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
With the rapid growth of web images, hashing has received increasing interests in large scale image retrieval. Research efforts have been devoted to learning compact binary codes that preserve semantic similarity based o…
Image RetrievalMulti-Label Image RetrievalRetrievalSemantic Similarity+1