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Titlebook: Computer Vision -- ECCV 2010; 11th European Confer Kostas Daniilidis,Petros Maragos,Nikos Paragios Conference proceedings 2010 Springer-Ver

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51#
發(fā)表于 2025-3-30 09:45:00 | 只看該作者
52#
發(fā)表于 2025-3-30 14:15:55 | 只看該作者
Dream as an Individual Map of Dilemmaand Caltech pedestrian datasets) and a new challenging dataset of children images in difficult poses. The evaluation suggests that our approach is on a par with the best current methods and advances the state-of-the-art on the Caltech pedestrian training dataset.
53#
發(fā)表于 2025-3-30 17:10:38 | 只看該作者
https://doi.org/10.1007/978-1-4615-1837-2rs: ImageNet and Flickr groups. In an evaluation involving hundreds of thousands of training images we show that classifiers learned on Flickr groups perform surprisingly well (although they were not intended for this purpose) and that they can complement classifiers learned on more carefully annota
54#
發(fā)表于 2025-3-30 21:59:44 | 只看該作者
The Dilemmas of Brief Psychotherapyy generalizes to optimal combinations of feature types. Experiments conducted on several datasets show that the gain over the original NBNN may attain up to 20 percentage points. We also take advantage of the linearity of optimal NBNN to perform classification by detection through efficient sub-wind
55#
發(fā)表于 2025-3-31 02:58:16 | 只看該作者
56#
發(fā)表于 2025-3-31 08:21:21 | 只看該作者
57#
發(fā)表于 2025-3-31 12:00:48 | 只看該作者
An Eye Fixation Database for Saliency Detection in Imagesimage segmentation application. Apart from proposing a mechanism to automatically determine characteristic fixation seeds for segmentation, we show that the use of fixation seeds generated from multiple fixation clusters on the . object can lead to a 10% improvement in segmentation performance over
58#
發(fā)表于 2025-3-31 16:49:33 | 只看該作者
59#
發(fā)表于 2025-3-31 19:53:38 | 只看該作者
60#
發(fā)表于 2025-3-31 22:28:03 | 只看該作者
Real-Time Specular Highlight Removal Using Bilateral Filteringsmoothing can be guided by the maximum diffuse chromaticity. But maximum diffuse chromaticity is to be estimated. We thus present an approximation and demonstrate its effectiveness. Recent development in fast bilateral filtering techniques enables our method to run over .× faster than the state-of-t
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