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Titlebook: Image and Graphics; 10th International C Yao Zhao,Nick Barnes,Chunyu Lin Conference proceedings 2019 Springer Nature Switzerland AG 2019 ar

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A Spiking Neural Network Architecture for Object Tracking accuracy decreases by only 0.007 on MNIST compared to the original method. Our approach applies SNN to object tracking and achieves certain effects, which is a reference for SNN applications in other computer vision areas in the future.
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Superpixel-Based Saliency Guided Intersecting Cortical Model for Unsupervised Object Segmentationfeature lies on: (1) the proposed saliency detection is based on region instead of pixel; (2) the dynamic guided filter is designed to accelerate the filtering; (3) in order to improve SG-ICM for object segmentation, at the each iteration, we use adaptive and simple threshold, which can raise the sp
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Real-Time Interpretation Method for Shooting-Range Image Based on Position Predictionn area is in the image, the detector will detect the target in the full image. Simulation experiments have demonstrated that the position prediction algorithm based on the optimal linear filter can accurately predict the target position and provide KCF with a more accurate search position. The algor
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Parallel-Structure-based Transfer Learning for Deep NIR-to-VIS Face Recognitionnique feature space, which is agnostic to the input image modality. The proposed PST method achieves state-of-the-art performance on CASIA NIR-VIS 2.0 Database, the largest near-infrared face database.
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