Results 1 to 10 of about 102,906 (305)
Senjski Zbornik, 2020 U svojevrsnom međuprostoru autorskoga sjećanja, između pamćenja i zaborava, figurama sjećanja i različitim mnemotehničkim mehanizmima konstruira se književni tekst u kojemu je grad bitan strukturni čimbenik.
Helena Sablić Tomić
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Novi Jeruzalem u Knjizi Otkrivenja – utopija ili realnost?
Bogoslovska Smotra, 2023 Posljednja dva poglavlja Knjige Otkrivenja donose nam čuveni prikaz novog grada Jeruzalema. Dok se s jedne strane divimo ljepoti toga prikaza, istodobno smo uistinu i zbunjeni te se pitamo koji bi bio smisao takvog prikaza (usp. Otk 21–22).
Ivan Benaković
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization [PDF]
International Journal of Computer Vision, 2016 We propose a technique for producing ‘visual explanations’ for decisions from a large class of Convolutional Neural Network (CNN)-based models, making them more transparent and explainable.
Ramprasaath R. Selvaraju +5 more
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Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2017 Over the last decade, Convolutional Neural Network (CNN) models have been highly successful in solving complex vision based problems. However, deep models are perceived as "black box" methods considering the lack of understanding of their internal ...
Aditya Chattopadhyay +3 more
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Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions [PDF]
Computer Vision and Pattern Recognition, 2023 Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) fixed upsampling rate after one-time training, since the
Yun He +4 more
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Grad-CAM++ is Equivalent to Grad-CAM With Positive Gradients
24th Irish Machine Vision and Image Processing Conference, 2022 The Grad-CAM algorithm provides a way to identify what parts of an image contribute most to the output of a classifier deep network. The algorithm is simple and widely used for localization of objects in an image, although some researchers have point out its limitations, and proposed various alternatives.
Miguel Lerma, Mirtha Lucas
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Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM [PDF]
Journal of Imaging, 2023 With the proliferation of image-based applications in various domains, the need for accurate and interpretable image similarity measures has become increasingly critical.
I. Livieris +3 more
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Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 There has been a significant progress in Text-To-Speech (TTS) synthesis technology in recent years, thanks to the advancement in neural generative modeling.
Minki Kang, Dong Min, Sung Ju Hwang
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Breast Cancer Classification With Enhanced Interpretability: DALAResNet50 and DT Grad-CAM [PDF]
IEEE Access, 2023 Automatic classification of breast cancer in histopathology images is crucial for accurate diagnosis and effective treatment planning. Recently, classification methods based on the ResNet architecture have gained prominence due to their ability to ...
Suxing Liu +2 more
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Comput. Biol. Medicine, 2022 Myocardial infarction (MI) accounts for a high number of deaths globally. In acute MI, accurate electrocardiography (ECG) is important for timely diagnosis and intervention in the emergency setting.
V. Jahmunah +4 more
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