ADAPTIVE TRIPLET MODEL FOR FINE-GRAINED VISUAL CATEGORIZATION

Adaptive Triplet Model for Fine-Grained Visual Categorization

Fine-grained visual categorization aims at differentiating subcategories, such as different species of birds, models of cars, and variants of aircraft.It often suffers from small inter-variance and large intra-variance.To keep dissimilar images far apart and preserve large intra-variance simultaneously, we propose an adaptive triplet model.At first

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Challenges of International Career for Teachers

People for different Pedal reasons need to travel abroad.They even travel to another country to work.However, people might experience culture schock due to new values and opinions they encounter in the new culture.It is not always easy to adapt a new environment for some people.Teachers, similarly might have the same problems once they enter in a n

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Predictors of first-pass isolation in patients with recurrent atrial fibrillation: A retrospective cohort study

Background: Pulmonary vein isolation (PVI) is superior to antiarrhythmics for the management of atrial fibrillation, but repeat ablation is often required for durable rhythm control.Factors influencing first-pass isolation (FPI) and whether FPI predicts durable isolation are not well known.Objective: The study sought to determine factors associated

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Efficient video panoramic image stitching based on an improved selection of Harris corners and a multiple-constraint corner matching.

Video panoramic image stitching is extremely time-consuming among other challenges.We present a new algorithm: (i) Improved, self-adaptive selection of Harris corners.The successful stitching relies heavily on the accuracy of corner selection.We fragment each image into numerous regions and select corners within each region according to the normali

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