Results 61 to 70 of about 18,389 (218)
2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges
Image quality is important not only for the viewing experience, but also for the performance of image processing algorithms. Image quality assessment (IQA) has been a topic of intense research in the fields of image processing and computer vision.
Yuzhen Niu +4 more
doaj +1 more source
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs.
Bovik, Alan C., Ghadiyaram, Deepti
core +1 more source
Intramolecular N···F Pnictogen Bond Mitigates the Explosive Behavior of Azido‐L‐Phenylalanines
An intramolecular N···F pnictogen bond is the key for the chemical stabilization of the fluorinated azido‐L‐phenylalanines, mitigating the risk of explosion and thus facilitating the handling and storage of these materials. Organic azides are versatile intermediates but are plagued by intrinsic instability and potential explosiveness. Here, it is shown
Andrea Pizzi +5 more
wiley +1 more source
Increasing the Robustness of Image Quality Assessment Models Through Adversarial Training
The adversarial robustness of image quality assessment (IQA) models to adversarial attacks is emerging as a critical issue. Adversarial training has been widely used to improve the robustness of neural networks to adversarial attacks, but little in-depth
Anna Chistyakova +6 more
doaj +1 more source
PENERAPAN METODE THAWĀB DAN ‘IQĀB DALAM MEMBENTUK AKHLAK SISWA DI SEKOLAH DASAR ACEH BESAR
This study examines the application of the thawÄb and 'iqÄb methods in forming the character of students in Islamic elementary school in Aceh Besar. ThawÄb and 'iqÄb are methods done by giving reward (thawÄb ) on learners who are excellent or well ...
Yunidar Yunidar
doaj +1 more source
Predicting Face Recognition Performance Using Image Quality [PDF]
This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality features (e.g. pose, illumination, etc.) and recognition performance measures
Dutta, Abhishek +2 more
core +1 more source
Visual question answering (Visual QA) has attracted a lot of attention lately, seen essentially as a form of (visual) Turing test that artificial intelligence should strive to achieve.
Chao, Wei-Lun, Hu, Hexiang, Sha, Fei
core +1 more source
Abstract Objective To identify long‐term predictors of seizure outcome after anterior temporal lobectomy (ATL) in a large, homogeneous cohort of patients with drug‐resistant temporal lobe epilepsy (TLE) and MRI‐defined unilateral hippocampal sclerosis (HS), all operated on by a single neurosurgeon with extended follow‐up.
Thiago Pereira Rodrigues +9 more
wiley +1 more source
Socially oriented attention in young children with neurofibromatosis type 1: An eye‐tracking study
Plain language summary: https://onlinelibrary.wiley.com/doi/10.1111/dmcn.70050 Abstract Aim To examine visual engagement to social stimuli and response to joint attention in young children with neurofibromatosis type 1 (NF1) and typically developing peers (controls). Method Forty‐five preschool children were studied cross‐sectionally (mean age [SD] = 4
Kristina M. Haebich +6 more
wiley +1 more source
Towards a Semantic Perceptual Image Metric
We present a full reference, perceptual image metric based on VGG-16, an artificial neural network trained on object classification. We fit the metric to a new database based on 140k unique images annotated with ground truth by human raters who received ...
Ballé, Johannes +10 more
core +1 more source

