Training Worshop on "IQA Program Assessor"
, 2019 The training workshop entitled IQA Program Assessor was organized by The Office of Vice President for Policy Planning and Quality Assurance (OPPQA) on February 22, 2019; 08.30 - 17.00 hrs. at Salle D’ Expo, Hua mak Campus, Assumption University where Rev.
core
Perceptual no-reference image quality assessment with meta-learning by graph representation learning and multi-scale feature fusion. [PDF]
PLoS OneJia Y, Wei L.
europepmc +1 more source
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment
Image quality assessment (IQA) serves as the golden standard for all models\u27 performance in nearly all computer vision fields. However, it still suffers from poor out-of-distribution generalization ability and expensive training costs.
Zhang, Yulun +7 more
core
From discarding to leveraging: quality-aware collaborative learning for robust diabetic retinopathy grading. [PDF]
Front Med (Lausanne)Pan Y +5 more
europepmc +1 more source
HCA-Mamba: a hierarchical cross-attention framework combining Vision Mamba and CNN for night-time image quality assessment. [PDF]
Sci RepZhang T, Dong W, Lu L, Niu W, Zhang R.
europepmc +1 more source
GLUQ: Global-Local Representation Learning for UHD Image Quality Assessment. [PDF]
Entropy (Basel)Zhu B +5 more
europepmc +1 more source
The New Frontier of Quality Evaluation for Visual Sensors: A Survey of Large Multimodal Model-Based Methods. [PDF]
Sensors (Basel)Ge Q, Min X, Wu S, Li Y, Zhai G.
europepmc +1 more source
Blind image quality assessment based on statistical features. [PDF]
Sci RepJi W, Chen X.
europepmc +1 more source
Artificial intelligence improves radiologist workflow and assessment of image quality accuracy. [PDF]
BioinformationYadav R +6 more
europepmc +1 more source
Efficient Two-Stage Autofocus for Micro-Assembly Based on Joint Spatial-Frequency Image Quality Assessment. [PDF]
J ImagingZhang J, Kang T, Zhao X, Sun M, Yang Y.
europepmc +1 more source