Results 21 to 30 of about 12,744 (261)
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
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From Weakly Supervised Learning to Biquality Learning: an Introduction [PDF]
2021 International Joint Conference on Neural Networks (IJCNN), 2021 The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with numerous papers addressing different types of "supervision deficiencies". In WSL use cases, a variety of situations exists where the collected "information" is imperfect. The paradigm of WSL attempts to list and cover these problems with associated solutions. In
Nodet, Pierre +4 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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Local Boosting for Weakly-Supervised Learning
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023 Accepted by KDD 2023 Research ...
Rongzhi Zhang +4 more
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Learning to Selectively Learn for Weakly-supervised Paraphrase Generation [PDF]
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021 Paraphrase generation is a longstanding NLP task that has diverse applications for downstream NLP tasks. However, the effectiveness of existing efforts predominantly relies on large amounts of golden labeled data. Though unsupervised endeavors have been proposed to address this issue, they may fail to generate meaningful paraphrases due to the lack of ...
Kaize Ding +6 more
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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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Data Consistency for Weakly Supervised Learning
CoRR, 2022 In many applications, training machine learning models involves using large amounts of human-annotated data. Obtaining precise labels for the data is expensive. Instead, training with weak supervision provides a low-cost alternative. We propose a novel weak supervision algorithm that processes noisy labels, i.e., weak signals, while also considering ...
Chidubem Arachie, Bert Huang
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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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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
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Weakly Supervised Dictionary Learning
IEEE Transactions on Signal Processing, 2018 We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and restoration as well as high-level classification tasks, which can be applied to audio and image analysis ...
Zeyu You +3 more
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