Results 61 to 70 of about 4,486 (211)
NeSyVQA: Neurosymbolic Visual Question Answering With Knowledge-Enriched Scene Graphs
Incorporating multimodal features and heterogeneous common sense knowledge in scene representation and visual reasoning techniques is essential for accurate and intuitive Visual Question Answering (VQA).
M. Jaleed Khan +2 more
doaj +1 more source
Divergent Perceptions of Dairy Farmers on the Role of Grazing in Animal Welfare and Production
ABSTRACT The modernization of dairy production, characterized by a transition to freestall barns with automatic milking systems and increasing herd sizes, has resulted in a decline in cattle grazing. The once‐traditional practice of summer grazing in Northern Europe has become a contentious topic, with the industry and public holding divergent views ...
I. Herzon +8 more
wiley +1 more source
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Visual question answering (VQA) is a hallmark of vision and language reasoning and a challenging task under the zero-shot setting. We propose Plug-and-Play VQA (PNP-VQA), a modular framework for zero-shot VQA.
Li, Boyang +4 more
core
Multilingual visual question answering for visually impaired people
Visual question answering (VQA) aims to answer questions for a given image. The applications of VQA systems are well explored in education, e-commerce, and interactive exhibits. It also enhances accessibility for the visually impaired (VI).
Ratnabali Pal +3 more
doaj +1 more source
This paper proposes a novel method for transferable adversarial attacks from Image Quality Assessment (IQA) to Video Quality Assessment (VQA) models. Attacking modern VQA models is challenging due to their high complexity and the temporal nature of video
Georgii Gotin +3 more
doaj +1 more source
Ultra-high-definition (UHD) video has brought new challenges to objective video quality assessment (VQA) due to its high resolution and high frame rate.
Zefeng Ying, Da Pan, Ping Shi
doaj +1 more source
A QUBO Formulation for Multi‐Material Topology Optimization With Quantum Annealing
ABSTRACT Multi‐material topology optimization (MMTO) seeks the optimal distribution of multiple materials within a given design domain to maximize structural performance. However, due to the high complexity of the solution space, MMTO problems are often trapped in local optima. To address this issue, a quantum annealing‐based MMTO framework is proposed.
Kenshin Nakano +2 more
wiley +1 more source
Multimodal Encoder-Decoder Attention Networks for Visual Question Answering
Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model.
Chongqing Chen, Dezhi Han, Jun Wang
doaj +1 more source
To address the variability of evapotranspiration (ET) in vineyards, a multi‐method approach combining the use of in‐field atmometer ET gauges and the FAO‐56 dual crop coefficient procedure was employed. Reference ET and crop ET adjusted for water stress resulted in consistencies between white varietals, while Pinot Noir exhibited reductions in ...
Jessica Williamson +3 more
wiley +1 more source
Attacking vqa systems via adversarial background noise
Adversarial examples have been successfully generated for various image classification models. Recently, several methods have been proposed to generate adversarial examples for more sophisticated tasks such as image captioning and visual question ...
Chaturvedi, Akshay, Garain, Utpal
core +1 more source

