Results 41 to 50 of about 596,937 (313)
A Multi-Cooperative Deep Convolutional Neural Network for Spatiotemporal Satellite Image Fusion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Remote sensing satellite images with high temporal and high spatial resolution play a critical role in earth science applications. However, it is difficult for a single satellite to obtain such images due to technical and cost constraints.
Weisheng Li +3 more
doaj +1 more source
, 2006 Distributed computing is a process through which a set of computers connected by a network is used collectively to solve a single problem. In this paper, we propose a distributed computing methodology for training neural networks for the detection of ...
Plagianakos, V.P. +2 more
core +1 more source
Training for Diversity in Image Paragraph Captioning [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 Image paragraph captioning models aim to produce detailed descriptions of a source image. These models use similar techniques as standard image captioning models, but they have encountered issues in text generation, notably a lack of diversity between sentences, that have limited their effectiveness.
Luke Melas-Kyriazi +2 more
openaire +1 more source
Training Vision Transformers for Image Retrieval
CoRR, 2021 Transformers have shown outstanding results for natural language understanding and, more recently, for image classification. We here extend this work and propose a transformer-based approach for image retrieval: we adopt vision transformers for generating image descriptors and train the resulting model with a metric learning objective, which combines a
Alaaeldin El-Nouby +3 more
openaire +2 more sources
New Methodology for Evaluating Uncertainty in Mineral Resource Estimation
Applied SciencesGeological modeling is generally based on deterministic models, which provide a single representation of reality. Probabilistic modeling is more appropriate when quantifying or understanding the uncertainty associated with a parameter of interest as it ...
José Alberto Arias +5 more
doaj +1 more source
Enhanced spatial pyramid matching using log-polar-based image subdivision and representation
, 2010 This paper presents a new model for capturing spatial information for object categorization with bag-of-words (BOW). BOW models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has
Zhang, Edmond Yiwen +3 more
core +1 more source
Deep Learning Classification of Systemic Sclerosis Skin Using the MobileNetV2 Model
IEEE Open Journal of Engineering in Medicine and Biology, 2021 Goal: Systemic sclerosis (SSc) is a rare autoimmune, systemic disease with prominent fibrosis of skin and internal organs. Early diagnosis of the disease is crucial for designing effective therapy and management plans.
Metin Akay +7 more
doaj +1 more source
PLoS ONE, 2023 PurposeThis study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging.MethodsDifferent training strategies, loss functions, and transfer learning schemes were ...
Javier Pérez de Frutos +7 more
doaj +2 more sources
Multi-Class Double-Transformation Network for SAR Image Registration
Remote Sensing, 2023 In SAR image registration, most existing methods consider the image registration as a two-classification problem to construct the pair training samples for training the deep model.
Xiaozheng Deng +6 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters +17 more
wiley +1 more source