Results 11 to 20 of about 24,571,413 (390)
MAXIM: Multi-Axis MLP for Image Processing [PDF]
Recent progress on Transformers and multilayer perceptron (MLP) models provide new network architectural designs for computer vision tasks. Although these models proved to be effective in many vision tasks such as image recognition, there remain ...
Zhengzhong Tu+6 more
semanticscholar +1 more source
Pre-Trained Image Processing Transformer [PDF]
As the computing power of modern hardware is increasing strongly, pre-trained deep learning models (e.g., BERT, GPT-3) learned on large-scale datasets have shown their effectiveness over conventional methods. The big progress is mainly contributed to the
Hanting Chen+9 more
semanticscholar +1 more source
Fuzzy System Based Medical Image Processing for Brain Disease Prediction
The present work aims to explore the performance of fuzzy system-based medical image processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear Magnetic Resonance) and the complexity of human brain tissues cause the brain MRI ...
Mandong Hu+4 more
semanticscholar +1 more source
Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems
The performance of objective image quality assessment (IQA) models has been evaluated primarily by comparing model predictions to human quality judgments.
Keyan Ding+3 more
semanticscholar +1 more source
An unambiguous cloudiness index for nonwovens
Cloudiness or formation is a concept routinely used in industry to address deviations from homogeneity in nonwovens and papers. Measuring a cloudiness index based on image data is a common task in industrial quality assurance.
Michael Godehardt+4 more
doaj +1 more source
REMOTE SENSING IMAGE TIME SERIES METRICS FOR DISTINCTION BETWEEN PASTURE AND CROPLANDS USING THE RANDOM FOREST CLASSIFIER [PDF]
Pasture and croplands play an important role in Brazil’s economic and political scenarios, once its PIB (Raw Internal Product) is mainly based on what is exported from the rural production, such as meat and soybean, and government, with its regulations ...
M. A. A. Rodrigues+4 more
doaj +1 more source
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection
The number of Earth observation satellites carrying optical sensors with similar characteristics is constantly growing. Despite their similarities and the potential synergies among them, derived satellite products are often developed for each sensor ...
Gonzalo Mateo-Garcia+3 more
doaj +1 more source
ABSTRACTThe main obstacles for the practical deployment of DNA-based data storage platforms are the prohibitively high cost of synthetic DNA and the large number of errors introduced during synthesis. In particular, synthetic DNA products contain both individual oligo (fragment) symbol errors as well as missing DNA oligo errors, with rates that exceed ...
Pan, Chao+5 more
openaire +4 more sources
Global flood extent segmentation in optical satellite images
Floods are among the most destructive extreme events that exist, being the main cause of people affected by natural disasters. In the near future, estimated flood intensity and frequency are projected to increase.
Enrique Portalés-Julià+3 more
doaj +1 more source
In the context of the round table the following topics related to image colour processing will be discussed: historical point of view. Studies of Aguilonius, Gerritsen, Newton and Maxwell. CIE standard (Commission International de lpsilaEclaraige). Colour models. RGB, HIS, etc. Colour segmentation based on HSI model. Industrial applications.
Batlle i Grabulosa, Joan+1 more
openaire +3 more sources