Results 41 to 50 of about 2,605 (177)
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 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. In contrast to most existing works, which require substantial adaptation of pretrained language models (PLMs) for the vision modality, PNP-VQA ...
Anthony Meng Huat Tiong +4 more
openaire +2 more sources
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Explainable Artificial Intelligence Through the Lens of Bibliometric Citation Analysis
Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.ABSTRACT This study provides a comprehensive bibliometric analysis of the development of Explainable Artificial Intelligence (XAI) research from 1993 to 2024. The objective is to explore key contributors, thematic trends, and the evolution of methodologies within the field.
Mariateresa Russo, Domenico Vistocco
wiley +1 more source
Iterated learning for emergent systematicity in VQA
CoRR, 2021 Published as a conference paper at ICLR 2021.
Ankit Vani +4 more
openaire +3 more sources
MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos
, 2023 User-generated content (UGC) live videos are often bothered by various distortions during capture procedures and thus exhibit diverse visual qualities.
Sun, Wei +7 more
core
A Structure‐Based Benchmarking Suite for Quantum Learning
Concurrency and Computation: Practice and Experience, Volume 38, Issue 10, May 2026.ABSTRACT The application of quantum computing to Data Processing has naturally extended into the realm of quantum machine learning. However, while numerous benchmarks exist for evaluating quantum hardware, there remains a scarcity of tailored benchmarks that assess the intrinsic performance of learning models.
Duwon Lee, Byung‐Soo Choi
wiley +1 more source
Head &Neck, Volume 48, Issue 5, Page 1208-1217, May 2026.ABSTRACT Objective To evaluate clinical outcomes and quality of life (QOL) following hypofractionated spot‐scanning proton therapy (SSPT) for head and neck malignant mucosal melanoma (HNMM). Methods This retrospective study included 39 patients treated with SSPT (60–64 Gy[RBE] in 15–16 fractions) between 2013 and 2023.
Koichiro Nakajima +11 more
wiley +1 more source
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks
CoRRTMLR 07 ...
Kim-Celine Kahl +6 more
openaire +3 more sources
, 2023 Recent advances in machine learning models have greatly increased the performance of automated methods in medical image analysis. However, the internal functioning of such models is largely hidden, which hinders their integration in clinical practice ...
Fountoukidou, Tatiana, Sznitman, Raphael
core +1 more source
Iterative Quantum Feature Maps
Advanced Quantum Technologies, Volume 9, Issue 5, May 2026.We propose Iterative Quantum Feature Maps (IQFMs), a hybrid quantum–classical framework that constructs a deep architecture by iteratively connecting shallow quantum feature maps with classically computed augmentation weights. By incorporating contrastive learning and a layer‐wise training mechanism, the IQFMs framework effectively reduces quantum ...
Nasa Matsumoto +4 more
wiley +1 more source