Results 11 to 20 of about 6,629,786 (241)
Weakly Supervised Learning of Objects, Attributes and their Associations [PDF]
, 2014 . When humans describe images they tend to use combinations of nouns and adjectives, corresponding to objects and their associated attributes respectively.
Zhiyuan Shi +11 more
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Automatic annotation for weakly supervised learning of detectors [PDF]
, 2012 PhDObject detection in images and action detection in videos are among the most widely studied computer vision problems, with applications in consumer photography, surveillance, and automatic media tagging. Typically, these standard detectors are fully
Siva, Parthipan
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Unsupervised learning of generative topic saliency for person re-identification [PDF]
, 2014 (c) 2014. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.© 2014. The copyright of this document resides with its authors.
Wang, H +5 more
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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
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
Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning
Plant Phenomics, 2023 Deep learning and computer vision have become emerging tools for diseased plant phenotyping. Most previous studies focused on image-level disease classification.
Lei Zhou +4 more
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Lesion region segmentation via weakly supervised learning
Quantitative Biology, 2022 Background Image‐based automatic diagnosis of field diseases can help increase crop yields and is of great importance. However, crop lesion regions tend to be scattered and of varying sizes, this along with substantial intra‐class variation and small ...
Ran Yi +5 more
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Weakly-supervised deep learning for ultrasound diagnosis of breast cancer
Scientific Reports, 2021 Conventional deep learning (DL) algorithm requires full supervision of annotating the region of interest (ROI) that is laborious and often biased. We aimed to develop a weakly-supervised DL algorithm that diagnosis breast cancer at ultrasound without ...
Jaeil Kim +9 more
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A review of intelligent diagnosis methods of imaging gland cancer based on machine learning
Virtual Reality & Intelligent Hardware, 2023 Background: Gland cancer is a high-incidence disease endangering human health, and its early detection and treatment need efficient, accurate and objective intelligent diagnosis methods.
Han Jiang +5 more
doaj +1 more source
Weakly Supervised Learning Approach for Implicit Aspect Extraction
Information, 2023 Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much ...
Aye Aye Mar +2 more
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