Results 21 to 30 of about 539,870 (246)
Sensors, 2021 Recent advances in deep learning models for image interpretation finally made it possible to automate construction site monitoring processes that rely on remote sensing. However, the major drawback of these models is their dependency on large datasets of
Suzanna Cuypers +2 more
doaj +1 more source
Decoupling Makes Weakly Supervised Local Feature Better [PDF]
, 2022 Weakly supervised learning can help local feature methods to overcome the obstacle of acquiring a large-scale dataset with densely labeled correspondences.
Liu, Li +5 more
core +2 more sources
MetaFL: Metamorphic fault localisation using weakly supervised deep learning
IET Software, 2023 Deep‐Learning‐based Fault Localisation (DLFL) leverages deep neural networks to learn the relationship between statement behaviour and program failures, showing promising results.
Lingfeng Fu +5 more
doaj +1 more source
Defect detection using weakly supervised learning [PDF]
, 2023 In many real-world scenarios, obtaining large amounts of labeled data can be a daunting task. Weakly supervised learning techniques have gained significant attention in recent years as an alternative to traditional supervised learning, as they enable ...
Balaska, Vasiliki +5 more
core +1 more source
Weakly-supervised content-based video moment retrieval using low-rank video representation
, 2023 Content-based video moment retrieval (CVMR) aims to localize a successive sequence of frames in an untrimmed reference video, called target moment, that is semantically corresponding to a given query video.
SY Kung (17367565) +3 more
core +1 more source
Weakly supervised segmentation of polyps on colonoscopy images [PDF]
, 2023 openIl cancro del colon-retto (CRC) è una delle principali cause di morte a livello mondiale e continua a rappresentare una sfida critica per la salute pubblica, richiedendo una precisa e tempestiva diagnosi e un intervento mirato.
RAMPON, RICCARDO
core
Real-World Video Anomaly Detection by Extracting Salient Features in Videos
IEEE Access, 2022 We propose a lightweight and accurate method for detecting anomalies in videos. Existing methods used multiple-instance learning (MIL) to determine the normal/abnormal status of each segment of the video.
Yudai Watanabe +3 more
doaj +1 more source
Weakly Supervised Cross-Domain Mixed Dish Detection With Mean-Teacher
IEEE Access, 2020 Mixed dish, which mixes different types of dishes in one plate, is a popular kind of food in East and Southeast Asia. Identifying the dish type in the mixed dish is essential for dietary tracking, which gains increasing research attention recently ...
Lixi Deng, Xu Zhang, Zhijie Shang
doaj +1 more source
Weakly supervised instance action recognition
Computational Visual MediaWe study the novel problem of weakly supervised instance action recognition (WSiAR) in multi-person (crowd) scenes. We specifically aim to recognize the action of each subject in the crowd, for which we propose the use of a weakly supervised method ...
Haomin Yan +4 more
doaj +1 more source
Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari +5 more
wiley +1 more source