Titlebook: Advances in Visual Computing; 15th International S George Bebis,Zhaozheng Yin,George Baciu Conference proceedings 2020 Springer Nature Swit

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Parliament and the Constitutionp to 67 frames per second for . inputs using a single nVIDIA GTX1080 GPU. The proposed network also outperforms the current state-of-the-art methods on the KITTI benchmark. The ASPPF-based network and edge-guided post-processing produces better results, both quantitatively and qualitatively than the competitors.

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https://doi.org/10.1007/978-3-663-09508-8a cascade residual-inception module and a deconvolution module with additional context information. When integrated into a Single Shot MultiBox Detector (SSD), these additions permit more accurate detection of small-scale objects. The results permit efficient real-time analysis of medical images in pathology and related biomedical research fields.

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Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixturesset that contains different indoor and outdoor places reveal the importance of the hierarchical clustering when categorizing images. The conducted tests prove the robustness of the proposed image categorization approach as compared to the other related-works.

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