Results 31 to 40 of about 11,738,094 (251)
SACuP: Sonar Image Augmentation with Cut and Paste Based DataBank for Semantic Segmentation
, 2023 In this paper, we introduce Sonar image Augmentation with Cut and Paste based DataBank for semantic segmentation (SACuP), a novel data augmentation framework specifically designed for sonar imagery.
Hyoseok Hwang +2 more
core +1 more source
Deep Learning-Based Plant-Image Classification Using a Small Training Dataset
Mathematics, 2022 Extensive research has been conducted on image augmentation, segmentation, detection, and classification based on plant images. Specifically, previous studies on plant image classification have used various plant datasets (fruits, vegetables, flowers ...
Ganbayar Batchuluun +2 more
doaj +1 more source
An Efficient Data Augmentation Network for Out-of-Distribution Image Detection
IEEE Access, 2021 Since deep neural networks may classify out-of-distribution image data into in-distribution classes with high confidence scores, this problem may cause serious or even fatal hazards in certain applications, such as autonomous vehicles and medical ...
Cheng-Hung Lin +3 more
doaj +1 more source
DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Data augmentation is a well known technique that is frequently used in machine learning tasks to increase the number of training instances and hence decrease model over-fitting.
M. A. A. Ghaffar +3 more
doaj +1 more source
Diffeomorphic transforms for data augmentation [PDF]
, 2022 openL’incremento dei dati è una tecnica ampiamente utilizzata in molti compiti di apprendimento automatico, come la classificazione delle immagini, per ampliare virtualmente la dimensione di dati ed evitare l’overfitting.
COCCO, ALESSIO
core
GammaFocus: An image augmentation method to focus model attention for classification [PDF]
, 2023 In histopathology, histologic elements are not randomly located across an image but organize into structured patterns. In this regard, classification tasks or feature extraction from histology images may require context information to increase ...
Frei, Ana Leni +5 more
core +1 more source
Calibration Propagation for Image Augmentation
, 2022 S.95-102Calibration is the first step of image augmentation. Classical approaches compute the projection matrix given 3D points of the scene and their 2D image correspondences.
Navab, N., Stricker, D.
core +1 more source
, 2023 The augmentation of the images using various types of flips, rotates, crops and ...
Zeshan Khan
core +1 more source
FEBS Letters, EarlyView.CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source
A Review of Data Augmentation Methods of Remote Sensing Image Target Recognition
, 2023 In recent years, remote sensing target recognition algorithms based on deep learning technology have gradually become mainstream in the field of remote sensing because of the great improvements that have been made in the accuracy of image target ...
Xiuhong Li +5 more
core +1 more source