Results 141 to 150 of about 492 (173)

Vision-language models for medical report generation and visual question answering: a review. [PDF]

Front Artif Intell
Hartsock I, Rasool G.
europepmc   +1 more source

Advancing medical imaging with language models: featuring a spotlight on ChatGPT. [PDF]

Phys Med Biol
Hu M, Qian J, Pan S, Li Y, Qiu RLJ, Yang X.   +5 more
europepmc   +1 more source

Causal Inference Meets Deep Learning: A Comprehensive Survey. [PDF]

Research (Wash D C)
Jiao L, Wang Y, Liu X, Li L, Liu F, Ma W, Guo Y, Chen P, Yang S, Hou B.   +9 more
europepmc   +1 more source

A contrast sensitivity model of the human visual system in modern conditions for presenting video content. [PDF]

PLoS One
Mozhaeva A, Cree MJ, Durrant RJ, Vlasuyk I, Potashnikov A, Mazin V, Streeter L.   +6 more
europepmc   +1 more source

Analyzing the effect of reasoning-based supervision on face anti-spoofing. [PDF]

Sci Rep
Min J, Lim K, Kim M, Kim D, Oh S, Kim E, Jang H.   +6 more
europepmc   +1 more source

An intelligent object detection and classification framework for assisting visually challenged persons using deep learning and improved crow search optimization. [PDF]

Sci Rep
Khadidos AO, Yafoz A.
europepmc   +1 more source

3D-DWT cross-band statistics and features for No-Reference Video Quality Assessment (NR-VQA)

Optik, 2021
Abstract This paper presents a robust, novel, and computationally efficient noise estimation-based NR-VQA model. It uses four novel sub-band features; namely cross-band statistics, sub-band kurtosis, sub-band energy ratios, and natural video statistics in three-dimensional discrete wavelet transform (3D-DWT) domain.
Anish Kumar Vishwakarma, Kishor M Bhurchandi   +1 more
exaly   +4 more sources

RAM-VQA: Restoration Assisted Multi-Modality Video Quality Assessment

IEEE Transactions on Image Processing
Video Quality Assessment (VQA) strives to computationally emulate human perceptual judgments and has garnered significant attention given its widespread applicability. However, existing methodologies face two primary impediments: (1) limited proficiency in evaluating samples at quality extremes (e.g., severely degraded or near-perfect videos), and (2 ...
Pengfei Chen 0003, Jiebin Yan, Rajiv Soundararajan, Giuseppe Valenzise, Li Cai, Leida Li   +5 more
openaire   +3 more sources