Results 31 to 40 of about 836,502 (333)
Review: A Survey on Objective Evaluation of Image Sharpness
Applied Sciences, 2023 Establishing an accurate objective evaluation metric of image sharpness is crucial for image analysis, recognition and quality measurement. In this review, we highlight recent advances in no-reference image quality assessment research, divide the ...
Mengqiu Zhu +4 more
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How Does Sharpness-Aware Minimization Minimize Sharpness? [PDF]
arXiv.org, 2022 Sharpness-Aware Minimization (SAM) is a highly effective regularization technique for improving the generalization of deep neural networks for various settings.
Kaiyue Wen, Tengyu Ma, Zhiyuan Li
semanticscholar +1 more source
Sharpness-Aware Minimization Improves Language Model Generalization [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 The allure of superhuman-level capabilities has led to considerable interest in language models like GPT-3 and T5, wherein the research has, by and large, revolved around new model architectures, training tasks, and loss objectives, along with ...
Dara Bahri, H. Mobahi, Yi Tay
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Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability [PDF]
Neural Information Processing Systems, 2022 Recent findings (e.g., arXiv:2103.00065) demonstrate that modern neural networks trained by full-batch gradient descent typically enter a regime called Edge of Stability (EOS).
Z. Li, Zixuan Wang, Jian Li
semanticscholar +1 more source
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 Fine-tuning large pretrained language models on a limited training corpus usually suffers from poor generalization. Prior works show that the recently-proposed sharpness-aware minimization (SAM) optimization method can improve the model generalization ...
Qihuang Zhong +6 more
semanticscholar +1 more source
Friendly Sharpness-Aware Minimization [PDF]
Computer Vision and Pattern RecognitionSharpness-Aware Minimization (SAM) has been instrumental in improving deep neural network training by minimizing both training loss and loss sharpness. Despite the practical success, the mechanisms behind SAM's generalization enhancements remain elusive,
Tao Li +4 more
semanticscholar +1 more source
Althea Medical Journal, 2015 Background: Chemical trauma is one of the emergency cases in ophthalmology since it can lead to severe, permanent blindness if not immediately treated.
Endi Pramudya Laksana +2 more
doaj +1 more source
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior [PDF]
Computer Vision and Pattern Recognition, 2020 We present a simple and effective deep convolutional neural network (CNN) model for video deblurring. The proposed algorithm mainly consists of optical flow estimation from intermediate latent frames and latent frame restoration steps.
Jin-shan Pan, Haoran Bai, Jinhui Tang
semanticscholar +1 more source
Besov's Type Embedding Theorem for Bilateral Grand Lebesgue Spaces [PDF]
, 2010 In this paper we obtain the non-asymptotic norm estimations of Besov's type between the norms of a functions in different Bilateral Grand Lebesgue spaces (BGLS).
Ostrovsky, E., Sirota, L.
core +3 more sources
Methods and apparatus means of medical scalpels sharpness checking
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The article is devoted to the development of methods and hardware for scalpels sharpness checking. The necessity of improving the methodology and hardware for scalpels sharpness testing, based on the implementation of the conditions for conducting ...
M. G. Kiselev +3 more
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