Results 21 to 30 of about 20,816 (168)
A Cross-Domain Change Detection Network Based on Instance Normalization
Remote Sensing, 2023 Change detection is a crucial task in remote sensing that finds broad application in land resource planning, forest resource monitoring, natural disaster monitoring, and evaluation.
Yabin Song +5 more
doaj +1 more source
A Lightweight Siamese Neural Network for Building Change Detection Using Remote Sensing Images
Remote Sensing, 2023 Building change detection (BuCD) can offer fundamental data for applications such as urban planning and identifying illegally-built new buildings. With the development of deep neural network-based approaches, BuCD using high-spatial-resolution remote ...
Haiping Yang +6 more
doaj +1 more source
Deep constrained siamese hash coding network and load-balanced locality-sensitive hashing for near duplicate image detection [PDF]
, 2018 We construct a new efficient near duplicate image detection method using a hierarchical hash code learning neural network and load-balanced Locality Sensitive Hashing (LSH) indexing.
Cai, Z. +5 more
core +1 more source
Siamese Instance Search for Tracking [PDF]
, 2016 In this paper we present a tracker, which is radically different from state-of-the-art trackers: we apply no model updating, no occlusion detection, no combination of trackers, no geometric matching, and still deliver state-of-the-art tracking ...
Gavves, Efstratios +2 more
core +2 more sources
Bird Detection using Siamese Neural Network
International Journal of Innovative Technology and Exploring Engineering, 2020 The proposed system uses deep neural networks for identifying bird species. The model will be trained on bird images that are coming in the endangered species category. The application can also handle new data points, unlike existing systems that require model re-training for accommodating new data.
Rushil Gupta* +2 more
openaire +1 more source
Enhancing Text Similarity Measurement with Hybrid Siamese Neural Networks and Lexical Features [PDF]
Advances in Engineering and Intelligence SystemsAccurately measuring text similarity holds significant importance in various text-centric applications, including text clustering, information retrieval, and question/answer systems.
Bei Zhou
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Few Shot Learning in Histopathological Images:Reducing the Need of Labeled Data on Biological Datasets [PDF]
, 2019 Although deep learning pathology diagnostic algorithms are proving comparable results with human experts in a wide variety of tasks, they still require a huge amount of well annotated data for training.
Belar, Oihana +7 more
core +1 more source
Siamese Neural Networks for Detecting Complementary Products [PDF]
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021 Recommender systems play an important role in e-commerce websites as they improve the customer journey by helping the users find what they want at the right moment. In this paper, we focus on identifying a complementary relationship between the products of an e-commerce company.
Marina Angelovska +3 more
openaire +1 more source
Remote Sensing, 2023 Ship classification using the synthetic aperture radar (SAR) images has a significant role in remote sensing applications. Aiming at the problems of excessive model parameters numbers and high energy consumption in the traditional deep learning methods ...
Xinqiao Jiang +3 more
doaj +1 more source
Siamese neural network architecture for homoglyph attacks detection
ICT Express, 2020 Primarily an adversary uses homoglyph or spoofing attack approach to obfuscate domain name, file name or process names. This approach facilitates to create domain name, file name or process names which look visually homogeneous to legitimate domain name,
Vinayakumar R., Soman K.P.
doaj +1 more source