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pro vyhledávání: '"Plested, Jo"'
Fine-tuning is widely applied in image classification tasks as a transfer learning approach. It re-uses the knowledge from a source task to learn and obtain a high performance in target tasks. Fine-tuning is able to alleviate the challenge of insuffi
Externí odkaz:
http://arxiv.org/abs/2207.12944
Autor:
Plested, Jo, Gedeon, Tom
Deep neural networks such as convolutional neural networks (CNNs) and transformers have achieved many successes in image classification in recent years. It has been consistently demonstrated that best practice for image classification is when large d
Externí odkaz:
http://arxiv.org/abs/2205.09904
Autor:
Wise, Chris, Plested, Jo
Convolutional neural networks (CNNs) have demonstrated rapid progress and a high level of success in object detection. However, recent evidence has highlighted their vulnerability to adversarial attacks. These attacks are calculated image perturbatio
Externí odkaz:
http://arxiv.org/abs/2202.08892
Physical symptoms caused by high stress commonly happen in our daily lives, leading to the importance of stress recognition systems. This study aims to improve stress classification by selecting appropriate features from Thermal-stress data, ANUstres
Externí odkaz:
http://arxiv.org/abs/2109.03755
Deep learning (DL) models are widely used to provide a more convenient and smarter life. However, biased algorithms will negatively influence us. For instance, groups targeted by biased algorithms will feel unfairly treated and even fearful of negati
Externí odkaz:
http://arxiv.org/abs/2108.10265
The current standard for a variety of computer vision tasks using smaller numbers of labelled training examples is to fine-tune from weights pre-trained on a large image classification dataset such as ImageNet. The application of transfer learning an
Externí odkaz:
http://arxiv.org/abs/2107.08585
Three-dimensional face reconstruction is one of the popular applications in computer vision. However, even state-of-the-art models still require frontal face as inputs, which restricts its usage scenarios in the wild. A similar dilemma also happens i
Externí odkaz:
http://arxiv.org/abs/2009.06053
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