Search Results

Negation is a fundamental grammatical construct that plays a crucial role in understanding QA tasks. It has been revealed that models trained with SQuAD1 still produce original responses when presented with negated sentences. To mitigate this ...

• The impact of the dynamic dual credit policy on the development of new energy vehicles is discussed.

To discuss how to promote the rapid development of new energy vehicles (NEVs) through low regulatory costs after the removal of financial subsidies, in this paper, an evolutionary game model between local governments and vehicle ...

Unsupervised domain adaptation aims to annotate unlabeled target domain samples by utilizing transferable knowledge learned from the source domain. Optimal transport (OT) has become a popular probability metric to measure the ...

The liver is one of the largest and most important organs in the human body. It maintains important life activities and is also one of the organs with high incidence of malignant tumors. Liver cancer is a major threat to human health. Liver ...

Ranking from noisy comparisons is of great practical interest in machine learning. In this paper, we consider the problem of recovering the exact full ranking for a list of items under ranking models that do not assume the Strong Stochastic Transitivity ...

It has long been a goal of immersive telepresence to capture and stream 3D spaces such that a remote viewer can watch from any location or angle within the scene. This demonstration presents Mosaic, a new distributed 3D scene capture system that uses ...

Unsupervised domain adaptation aims to improve the performance of model generalization on unlabeled target domain by utilizing given labeled training samples from source domain. The optimal transport theory has been widely used to reduce domain ...

One of the challenging factors in real application of sign language translation (SLT) is inter-signer variation. With the assumption that the pre-trained translation model cannot cover all the signers, the adaptation capability for unseen signers is of ...

Aiming at the accuracy loss caused by integer corner coordinates and repeated detection of the same line features in the point-line visual Simultaneous Localization and Mapping (SLAM) system, this letter proposed an approach that introduced an optimized ...

Transformer-based architectures achieve competitive performances in video captioning. However, their applicability still has many issues: (1) Existing methods only consider the correlation of query and key modalities when calculating ...

Aiming at the problems of low coverage of teaching resource recommendation results, long running time of the platform and low accuracy of Resource Recommendation in traditional methods, this paper designs an intelligent real-time news ...

Disturbance mainly caused by recoil force in-evitably makes washing drone seriously deviate from the desired position, thereby reducing the cleaning efficiency. It is neces-sary to develop an effective anti-disturbance control method. Although some ...

When multiple quadrotors fly in a cluttered environment, collision-free flight must be assured. In this paper, we propose a novel elastic safety clearance based model predictive control (ESC-MPC) for multiple maneuverable quadrotors to avoid collisions in ...

Real-time systems are shifting them from single-core to multi-core processors. Software must be parallelized to fully utilize the computation power of multi-core architectures. OpenMP is a promising framework to develop parallel real-...

The majority of existing multimodal sequential learning methods focus on how to obtain powerful individual representations and neglect to effectively capture the multimodal joint representation. Bilinear attention network (BAN) is a commonly used ...

For manufacturing companies, the ability to collect accurate, comprehensive, and real-time production process data is very beneficial to the refined management of the company. Based on technologies such as PLC and Code39 barcodes, this paper designs a ...

Sign language translation aims at directly translating a sign language video into a natural sentence. The majority of existing methods take the video-sentence pairs labeled by multiple specific signers as training and testing samples. However, such ...

This article proposes a deep learning based approach for cyber attack detection in the vehicles. The proposed method is constructed based on generative adversarial network (GAN) classification to assess the message frames transferring between the electric ...

In this paper, we focus on the problem of applying the transformer structure to video captioning effectively. The vanilla transformer is proposed for uni-modal language generation task such as machine translation. However, video captioning is a ...

The ARINC429 protocol is widely used for communication between electronic devices and equipment in civil aviation including part of the communication of the signal processing module in the aviation environment surveillance system (AESS). However, the ...