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In recent years, sentiment analysis has emerged as a prominent area of research within the field of natural language processing. Particularly, aspect-level sentiment classification has gained significant attention for its focus on discerning and ...

• Using phrases for aspect-level sentiment analysis.
• Extracting phrases representations by deformable convolution network.
• Enhancing features of phrases and words in the context through attention.

Automated techniques for evaluating sports activities inside dynamic frames are highly dependent on advanced sports analysis by smart machines. The monitoring of individuals and the discerning of athletic pursuits has several potential ...

Deformable convolution networks (DCNs) proposed to address image recognition with geometric or photometric variations typically involve deformable convolution that convolves on arbitrary locations of input features. The locations change with different ...

The wheelset tread has large noise interference and various forms of defects, resulting in the low detection accuracy and poor localization effect. We proposed a new detection model for wheel tread defect detection. First, we proposed a deformable ...

The most challenging aspects of deploying deep models in IoT and embedded systems are extensive computational complexity and large training and inference time. Although various lightweight versions of state-of-the-art models are also being designed, ...

Ultrasound is the preferred imaging method to detect chronic kidney disease. It has the characteristics of real-time dynamic imaging. The existing real-time instance segmentation model can meet the real-time requirements of 30fps of segmentation speed, ...

Video super-resolution, which attempts to reconstruct high-resolution video frames from their corresponding low-resolution versions, has received increasingly more attention in recent years. Most existing approaches opt to use deformable ...