Image retrieval from remote sensing big data: A survey

Y Li, J Ma, Y Zhang - Information Fusion, 2021 - Elsevier
The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …

Learning robust representations via multi-view information bottleneck

M Federici, A Dutta, P Forré, N Kushman… - arXiv preprint arXiv …, 2020 - arxiv.org
The information bottleneck principle provides an information-theoretic method for
representation learning, by training an encoder to retain all information which is relevant for …

RODNet: A real-time radar object detection network cross-supervised by camera-radar fused object 3D localization

Y Wang, Z Jiang, Y Li, JN Hwang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Various autonomous or assisted driving strategies have been facilitated through the
accurate and reliable perception of the environment around a vehicle. Among the commonly …

Signet: Convolutional siamese network for writer independent offline signature verification

S Dey, A Dutta, JI Toledo, SK Ghosh, J Lladós… - arXiv preprint arXiv …, 2017 - arxiv.org
Offline signature verification is one of the most challenging tasks in biometrics and document
forensics. Unlike other verification problems, it needs to model minute but critical details …

Deep sketch hashing: Fast free-hand sketch-based image retrieval

L Liu, F Shen, Y Shen, X Liu… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Free-hand sketch-based image retrieval (SBIR) is a specific cross-view retrieval task, in
which queries are abstract and ambiguous sketches while the retrieval database is formed …

Doodle to search: Practical zero-shot sketch-based image retrieval

S Dey, P Riba, A Dutta, J Llados… - Proceedings of the …, 2019 - openaccess.thecvf.com
In this paper, we investigate the problem of zero-shot sketch-based image retrieval (ZS-
SBIR), where human sketches are used as queries to conduct retrieval of photos from …

Cross-domain image retrieval: methods and applications

X Zhou, X Han, H Li, J Wang, X Liang - International Journal of Multimedia …, 2022 - Springer
Cross-domain images have been witnessed in an increasing number of applications. This
new trend triggers demands for cross-domain image retrieval (CDIR), which finds images in …

[HTML][HTML] A survey on symmetrical neural network architectures and applications

O Ilina, V Ziyadinov, N Klenov, M Tereshonok - Symmetry, 2022 - mdpi.com
A number of modern techniques for neural network training and recognition enhancement
are based on their structures' symmetry. Such approaches demonstrate impressive results …

A zero-shot framework for sketch based image retrieval

SK Yelamarthi, SK Reddy… - Proceedings of the …, 2018 - openaccess.thecvf.com
Sketch-based image retrieval (SBIR) is the task of retrieving images from a natural image
database that correspond to a given hand-drawn sketch. Ideally, an SBIR model should …

Product1m: Towards weakly supervised instance-level product retrieval via cross-modal pretraining

X Zhan, Y Wu, X Dong, Y Wei, M Lu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Nowadays, customer's demands for E-commerce are more diversified, which introduces
more complications to the product retrieval industry. Previous methods are either subject to …