Results 21 to 30 of about 6,693,779 (355)
Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback [PDF]
We study the task of conversational fashion image retrieval via multiturn natural language feedback. Most previous studies are based on single-turn settings.
Yifei Yuan, W. Lam
semanticscholar +1 more source
A Semantic-Preserving Deep Hashing Model for Multi-Label Remote Sensing Image Retrieval
Conventional remote sensing image retrieval (RSIR) systems perform single-label retrieval with a single label to represent the most dominant semantic content for an image.
Qimin Cheng +5 more
doaj +1 more source
Deep Multi-View Enhancement Hashing for Image Retrieval [PDF]
Hashing is an efficient method for nearest neighbor search in large-scale data space by embedding high-dimensional feature descriptors into a similarity preserving Hamming space with a low dimension.
C. Yan, Biao Gong, Yuxuan Wei, Yue Gao
semanticscholar +1 more source
Saliency-Based Image Retrieval as a Refinement to Content-Based Image Retrieval
Searching for an image in a database is important in different applications; hence, many algorithms have been proposed to identify the contents of the image.
Mohammad A. N. Al-Azawi
doaj +1 more source
Lifelong Fine-Grained Image Retrieval
Abstract Fine-grained image retrieval has been extensively explored in a zero-shot manner. A deep model is trained on the seen part and then evaluated the generalization performance on the unseen part. However, this setting is infeasible for many real-world applications since (1) the retrieval dataset can be non-fixed so that new data are added ...
Wei Chen +7 more
openaire +3 more sources
Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform
Aiming at the problems of low image data retrieval accuracy and slow retrieval speed in the existing image database retrieval algorithms, this paper designs a clothing image database retrieval algorithm based on wavelet transform.
Xiaoyue Cui
doaj +1 more source
A review of fine-grained sketch image retrieval based on deep learning
Sketch image retrieval is an important branch of the image retrieval field, mainly relying on sketch images as queries for content search. The acquisition process of sketch images is relatively simple and in some scenarios, such as when it is impossible ...
Qing Luo +5 more
doaj +1 more source
Content-based image retrieval: A review of recent trends
With the availability of internet technology and the low-cost of digital image sensor, enormous amount of image databases have been created in different kind of applications.
I. M. Hameed +2 more
semanticscholar +1 more source
Many image features have been proposed for image retrieval; hence, effectively fusing these features to alleviate the large variation in performance among image queries when using single image features has become a major challenge in remote sensing (RS ...
Famao Ye +4 more
doaj +1 more source
A Decade Survey of Content Based Image Retrieval Using Deep Learning [PDF]
The content based image retrieval aims to find the similar images from a large scale dataset against a query image. Generally, the similarity between the representative features of the query image and dataset images is used to rank the images for ...
S. Dubey
semanticscholar +1 more source

