Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing; 28th International C Igor V. Tetko,Věra K?rková,Fabian Thei

鞠躬

https://doi.org/10.1007/978-3-7091-4435-0h ScratchDet for fast evaluation. Moreover, as a pre-trained model on ImageNet, DRFNet is also tested with SSD. All the experiments show that DRFNet is an effective and efficient backbone network for object detection.

poliosis

Phase Transitions in Thin Films,square estimation. We integrate the adaptive feature channel weighting scheme into two state-of-the-art handcrafted DCF based trackers, and evaluate them on two benchmarks: OTB2013 and VOT2016, respectively. The experimental results demonstrate its accuracy and efficiency when compared with some state-of-the-art handcrafted DCF based trackers.

molest

Ferroelectric Domains: Some Recent Advances,s show that our network achieves superior performance with the fewest parameters and the fastest speed compared with baseline methods on the IDRiD dataset. Specially, with 1/20 parameters and 1/3 inference time, our method is over 10% higher than DeepLab v3+ in terms of F1-score on the IDRiD dataset. The source code of LWENet is available at ..

Fortify

Eye Movement-Based Analysis on Methodologies and Efficiency in the Process of Image Noise Evaluationspatial entropy analysis on eye movement data, a quantitative measure is obtained to show significant correlation with the decision-making efficiency of evaluation processing, which is characterized by evaluation time and decision error. As a result, the new measure may be used as a proxy definition for this decision-making efficiency.

Charlatan

deficiency

osteoclasts

A New Learning-Based One Shot Detection Framework for Natural Imageser these steps, we can obtain a temporary result. Based on this result and some proposals related to it, we refine the proposals through the intersection. Then we conduct second-round detection with new proposals and improve the accuracy. Experiments on different datasets demonstrate that our method is effective and has a certain transferability.

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ventilate

An Adaptive Feature Channel Weighting Scheme for Correlation Trackingsquare estimation. We integrate the adaptive feature channel weighting scheme into two state-of-the-art handcrafted DCF based trackers, and evaluate them on two benchmarks: OTB2013 and VOT2016, respectively. The experimental results demonstrate its accuracy and efficiency when compared with some state-of-the-art handcrafted DCF based trackers.

Hiatal-Hernia