Titlebook: Computer Vision – ACCV 2018; 14th Asian Conferenc C.V. Jawahar,Hongdong Li,Konrad Schindler Conference proceedings 2019 Springer Nature Swi

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Style Transfer with Adversarial Learning for Cross-Dataset Person Re-identification the style-transferred images are all used to enhance the generalization ability of the ReID model. Experimental results suggest that the proposed strategy is very effective on the Market-1501 and DukeMTMC-reID.

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Occlusion Aware Stereo Matching via Cooperative Unsupervised Learning different hybrid loss enforcing them to be consensus and trained alternatively to reach convergence. The comprehensive experimental analyses show that our method achieves state-of-the-art results among unsupervised learning frameworks, and is even comparable to several supervised methods.

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Conference proceedings 2019a, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object recognition,

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234121.jpg

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Computer Vision – ACCV 2018978-3-030-20876-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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978-3-030-20875-2Springer Nature Switzerland AG 2019

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Peter Bogach Greenspan DO, FACOG, FACSht field camera using a concentric conics pattern. In this paper, we explore the property and reconstruction of common self-polar triangle with respect to concentric circle and ellipse. A light field projection model is formulated to compute out an effective linear initial solution for both intrinsi