A review on machine learning styles in computer vision—techniques and future directions

SV Mahadevkar, B Khemani, S Patil, K Kotecha… - Ieee …, 2022 - ieeexplore.ieee.org
Computer applications have considerably shifted from single data processing to machine
learning in recent years due to the accessibility and availability of massive volumes of data …

Artificial intelligence for sustainability—a systematic review of information systems literature

T Schoormann, G Strobel, F Möller, D Petrik… - … of the Association for …, 2023 - aisel.aisnet.org
The booming adoption of Artificial Intelligence (AI) likewise poses benefits and challenges.
In this paper, we particularly focus on the bright side of AI and its promising potential to face …

Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models

J Zipfel, F Verworner, M Fischer, U Wieland… - Computers & Industrial …, 2023 - Elsevier
Across many industries, visual quality assurance has transitioned from a manual, labor-
intensive, and error-prone task to a fully automated and precise assessment of industrial …

Eccv caption: Correcting false negatives by collecting machine-and-human-verified image-caption associations for ms-coco

S Chun, W Kim, S Park, M Chang, SJ Oh - European Conference on …, 2022 - Springer
Image-Text matching (ITM) is a common task for evaluating the quality of Vision and
Language (VL) models. However, existing ITM benchmarks have a significant limitation …

Obstacle detection system for agricultural mobile robot application using RGB-D cameras

M Skoczeń, M Ochman, K Spyra, M Nikodem, D Krata… - Sensors, 2021 - mdpi.com
Mobile robots designed for agricultural tasks need to deal with challenging outdoor
unstructured environments that usually have dynamic and static obstacles. This assumption …

[PDF][PDF] Achieving Sustainability with Artificial Intelligence-A Survey of Information Systems Research.

T Schoormann, G Strobel, F Möller, D Petrik - ICIS, 2021 - researchgate.net
Understanding the role of Artificial Intelligence (AI) is crucial to contribute to sustainable
development including the most fundamental challenges of our society, such as climate …

Evaluating the utility of conformal prediction sets for ai-advised image labeling

D Zhang, A Chatzimparmpas, N Kamali… - Proceedings of the CHI …, 2024 - dl.acm.org
As deep neural networks are more commonly deployed in high-stakes domains, their black-
box nature makes uncertainty quantification challenging. We investigate the effects of …

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)

MG Ragab, SJ Abdulkader, A Muneer… - IEEE …, 2024 - ieeexplore.ieee.org
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has
found applications in various medical object detection tasks. This has been accompanied by …

Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach

A Venkataramanan, P Faure-Giovagnoli… - … Applications of Artificial …, 2023 - Elsevier
Benthic diatoms are unicellular microalgae that are routinely used as bioindicators for
monitoring the ecological status of freshwater. Their identification using light microscopy is a …

[PDF][PDF] A comprehensive systematic review of yolo for medical object detection (2018 to 2023)

R Qureshi, MG RAGAB, SJ ABDULKADER… - Authorea …, 2023 - techrxiv.org
ABSTRACT You Only Look Once (YOLO) is a popular object detection algorithm that has
been applied to a variety of medical object detection tasks. A systematic search was …