Gum-Disease 发表于 2025-3-27 00:00:04
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Lydia Schmieders for both RGB and HSV colour models. Then, maximum likelihood is applied for position smoothing while a Bayesian approach is applied for size smoothing. Our algorithm performs better than SIFT and SURF detectors in a majority of the cases especially in complex video scenes.Microaneurysm 发表于 2025-3-27 05:19:26
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Lydia Schmiederive power of the proposed features. Indeed, their encouraging discriminative quality is shown by a feature relevance test, by the clustering results achieved on both synthetic and real datasets, and by their comparison to those obtained by related and classical state-of-the-art clustering approaches名字 发表于 2025-3-27 16:40:04
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Lydia Schmieder visual activity primitives quantitatively in terms of the overall performance and the standard deviation of the performance, and qualitatively by visualizing the discriminative image regions determined by CNN trained to identify VAD classes. We perform a data-driven VAD with a person-invariant traiTalkative 发表于 2025-3-28 04:45:13
Lydia Schmiederariant to small local changes in the scene, thus resulting more robust in dynamic background cases. Results, obtained on experiments carried out on two benchmark datasets, demonstrate how the proposed solution improves the previous keypoint-based models and overcomes several works of the current staARBOR 发表于 2025-3-28 08:52:26
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