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Titlebook: Image and Vision Computing; 37th International C Wei Qi Yan,Minh Nguyen,Martin Stommel Conference proceedings 2023 The Editor(s) (if applic

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樓主: 復(fù)雜
51#
發(fā)表于 2025-3-30 08:33:40 | 只看該作者
Eric Song,Sam Schofield,Richard Greenn Neumann [vN58] wrote in his notes for the Silliman Lectures concerning the nature of computation and the human brain that . . . logics and statistics should be primarily, although not exclusively, viewed as 978-3-642-08217-7978-3-662-04943-3Series ISSN 1862-4499 Series E-ISSN 1862-4502
52#
發(fā)表于 2025-3-30 15:15:11 | 只看該作者
Yliess Hati,Vincent Thevenin,Florent Nolot,Francis Rousseaux,Clement Duhart
53#
發(fā)表于 2025-3-30 17:12:10 | 只看該作者
Maarten Vandersteegen,Wouter Reusen,Kristof Van Beeck,Toon Goedemé
54#
發(fā)表于 2025-3-30 20:44:36 | 只看該作者
Deepthi Praveenlal Kuttichira,Basim Azam,Brijesh Verma,Ashfaqur Rahman,Lipo Wang
55#
發(fā)表于 2025-3-31 04:20:59 | 只看該作者
Theodorus Dapamede,Krishna M. Chapagain,Mahdieh Moghiseh,James Atlas,Philip H. Butler,Anthony P. H.
56#
發(fā)表于 2025-3-31 07:13:58 | 只看該作者
,UnseenNet: Fast Training Detector for?Unseen Concepts with?No Bounding Boxes,etector using only image-level labels and further adapted by transferring the classifier-detector knowledge between baselines. We use semantic as well as visual similarities to identify the source class (i.e. Sheep) for the fine-tuning and adaptation of unseen class (i.e. Goat). Our model (UnseenNet
57#
發(fā)表于 2025-3-31 12:31:41 | 只看該作者
58#
發(fā)表于 2025-3-31 15:39:12 | 只看該作者
A Novel Explainable Deep Learning Model with Class Specific Features,s to extract features automatically and the predictions made by this model can be explained based on specific features/neurons that resulted in the prediction. The model put forth in this paper has accuracy that is on par with the state-of-the-art models. Also, its predictions are explainable with t
59#
發(fā)表于 2025-3-31 20:39:17 | 只看該作者
60#
發(fā)表于 2025-4-1 00:30:30 | 只看該作者
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