False claims that have been previously fact-checked can still spread on social media. To mitigate their continual spread, detecting previously fact-checked claims is indispensable. Given a claim, existing works retrie...
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We study the problem of leveraging the syntactic structure of text to enhance pre-trained models such as BERT and RoBERTa. Existing methods utilize syntax of text either in the pre-training stage or in the fine-tuning...
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Focused on the issues that the sparseness of the data obtained after factorization is reduced and with the increasing of training samples, the computing scale increases rapidly, an incremental learning algorithm based...
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Designing pre-training objectives that more closely resemble the downstream tasks for pre-trained language models can lead to better performance at the fine-tuning stage, especially in the ad-hoc retrieval area. Exist...
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The key challenge of image manipulation detection is how to learn generalizable features that are sensitive to manipulations in novel data, whilst specific to prevent false alarms on authentic images. Current research...
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The key challenge of image manipulation detection is how to learn generalizable features that are sensitive to manipulations in novel data, whilst specific to prevent false alarms on authentic images. Current research...
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ISBN:
(纸本)9781665428132
The key challenge of image manipulation detection is how to learn generalizable features that are sensitive to manipulations in novel data, whilst specific to prevent false alarms on authentic images. Current research emphasizes the sensitivity, with the specificity overlooked. In this paper we address both aspects by multi-view feature learning and multi-scale supervision. By exploiting noise distribution and boundary artifact surrounding tampered regions, the former aims to learn semantic-agnostic and thus more generalizable features. The latter allows us to learn from authentic images which are nontrivial to be taken into account by current semantic segmentation network based methods. Our thoughts are realized by a new network which we term MVSS-Net. Extensive experiments on five benchmark sets justify the viability of MVSS-Net for both pixel-level and image-level manipulation detection.
Cross-modal retrieval is crucial in understanding latent correspondences across modalities. However, existing methods implicitly assume well-matched training data, which is impractical as real-world data inevitably in...
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With urban expansion and economic development, traditional industrial parks with single function cannot adapt to the pace of urban development. As a new type of industrial park, the industry-city integration has gradu...
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ISBN:
(纸本)9781665497138
With urban expansion and economic development, traditional industrial parks with single function cannot adapt to the pace of urban development. As a new type of industrial park, the industry-city integration has gradually become the development direction. There is no tailor-made quantitative planning scheme at this stage. Aiming at filling the gap, this research does the following work to provide quantitative guidance strategy for industrial park planning. This paper first analyzes the Transit-oriented development (TOD) model requirements of new industrial parks, and makes a detailed analysis of the interaction between land use and transportation. Secondly, based on the relationship between land use and transportation, a combined feedback model of the land planning model and the public transportation utility allocation model is established. The process of modeling is to plan the smallest land unit according to the principle of land use function combination and land use type to meet the needs of residents. The other is to plan public transportation with optimal road load according to the principle of public transportation guiding travel and maximizing travel efficiency. Notedly, this paper uses the TOPSIS method to normalize the planning score through the feedback relationship between land use planning and public transportation planning. Based the analysis, the genetic algorithm is used to optimize the planning score and obtain the best plan which provides quantitative guidance strategies for the industrial park planning. Finally, this paper selects the 'Blank Land' of Suzhou Industrial Parks for case analysis, and the best standardized score after planning is about 87 points. In order to further analyze the planning effect and the relationship between the planned area and the rest of the land, ArcGIS is used to carry out demand analysis and land use radiation range analysis of the planning scheme. The results show that the travel demand after planning matches with t
Transmembrane proteins (TMPs) serve as drug targets for more than half of the drugs currently availab.e in the market. However, it had not been clearly explained how they realize their drug effects through multiple co...
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In recent years, autonomous navigation of mobile robots has become one of the hot topics in research. An improved Q-learning method (IQL) combining action selection strategy and Q function update method is proposed. A...
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