Results 81 to 90 of about 7,122,625 (292)

Improvement of Classification Results of Convolutional Neural Networks Using Various Gan-Based Augmentation Techniques

Acta Electrotechnica et Informatica
Generative Adversarial Network (GAN) is an exciting innovation in machine learning within the neural network field. These models are able to generate a realistic image, video or even voice output.
Kališková Lenka, Butka Peter
doaj   +1 more source

RandMixAugment: A Novel Unified Technique for Region- and Image-Level Data Augmentations

IEEE Access
Deep learning models learn powerful representational spaces required for handling complex tasks. Recently, data augmentation techniques, region-level, and image-level augmentation have proved effective in significantly improving deep learning models ...
Yosoeb Shin, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Seon-Gon Kim, Sang-Mi Park, Jae-Mo Kang   +6 more
doaj   +1 more source

Negative Contrast: A Simple and Efficient Image Augmentation Method in Crop Disease Classification

Agriculture, 2023
Crop disease classification constitutes a significant and longstanding challenge in the domain of agricultural and forestry sciences. Frequently, there is an insufficient number of samples to accurately discern the distribution of real-world instances ...
Jiqing Li, Zhendong Yin, Dasen Li, Yanlong Zhao   +3 more
doaj   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

Image augmentation approaches for small and tiny object detection in aerial images: a review

Multimedia tools and applications
The task of detecting small and tiny objects has not shown significant performance improvement compared to detecting medium and large objects, even with advanced detection methods.
Ume Nisa
semanticscholar   +1 more source

A Data-Driven Approach to Classifying Wave Breaking in Infrared Imagery

Remote Sensing, 2019
We apply deep convolutional neural networks (CNNs) to estimate wave breaking type (e.g., non-breaking, spilling, plunging) from close-range monochrome infrared imagery of the surf zone.
Daniel Buscombe, Roxanne J. Carini
doaj   +1 more source

Occlusion Robust Wheat Ear Counting Algorithm Based on Deep Learning

Frontiers in Plant Science, 2021
Counting the number of wheat ears in images under natural light is an important way to evaluate the crop yield, thus, it is of great significance to modern intelligent agriculture.
Yiding Wang, Yuxin Qin, Jiali Cui
doaj   +1 more source

Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function

FEBS Open Bio, EarlyView.
We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke, Michal Banasik, Rokas Juodeikis, Martin J. Warren, Richard W. Pickersgill   +4 more
wiley   +1 more source

Evaluating GAN-Based Image Augmentation for Threat Detection in Large-Scale Xray Security Images

Applied Sciences, 2020
The inherent imbalance in the data distribution of X-ray security images is one of the most challenging aspects of computer vision algorithms applied in this domain.
Joanna Kazzandra Dumagpi, Yong-Jin Jeong
doaj   +1 more source

An Improved Tuna-YOLO Model Based on YOLO v3 for Real-Time Tuna Detection Considering Lightweight Deployment

Journal of Marine Science and Engineering, 2023
A real-time tuna detection network on mobile devices is a common tool for accurate tuna catch statistics. However, most object detection models have multiple parameters, and normal mobile devices have difficulties in satisfying real-time detection. Based
Yuqing Liu, Huiyong Chu, Liming Song, Zhonglin Zhang, Xing Wei, Ming Chen, Jieran Shen   +6 more
doaj   +1 more source