In this day and age, area calculation and detection methods are always in need of training
data. Although, labelling objects are not volatile approaches to solve the detection problem …

In this paper, we propose a generic boosting framework for multiple object tracking (MOT).
Unlike other works tracking objects from zero, our framework uses their results (tracklets) …

The typical Internet of Things application, unattended driving systems, will need the ability to
recognize relevant traffic participants and detect dangerous situations ahead of time. An …

Most logit-based knowledge distillation methods transfer soft labels from the teacher model
to the student model via Kullback–Leibler divergence based on softmax, an exponential …

Chinese abbreviation prediction is very important for various natural language processing
tasks such as query understanding and entity linking, since people tend to use the concise …

Abbreviations often used in our daily communication play an important role in natural
language processing. Most of the existing studies regard the Chinese abbreviation …

Recently, the bottleneck of multi-object tracking is shifting from detection performance to
association performance. However, research on association algorithms requires a large …

Cache memory is now a buzzword of technology arena. The main monologist of the cache
memory is to be representing the main re-security system of money for getting arrangement …