Titlebook: Information and Communication Technology for Competitive Strategies (ICTCS 2020); Intelligent Strategi M. Shamim Kaiser,Juanying Xie,Vijay

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书目名称Information and Communication Technology for Competitive Strategies (ICTCS 2020)影响因子(影响力)




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书目名称Information and Communication Technology for Competitive Strategies (ICTCS 2020)网络公开度学科排名




书目名称Information and Communication Technology for Competitive Strategies (ICTCS 2020)被引频次




书目名称Information and Communication Technology for Competitive Strategies (ICTCS 2020)被引频次学科排名




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书目名称Information and Communication Technology for Competitive Strategies (ICTCS 2020)年度引用学科排名




书目名称Information and Communication Technology for Competitive Strategies (ICTCS 2020)读者反馈




书目名称Information and Communication Technology for Competitive Strategies (ICTCS 2020)读者反馈学科排名

GIST

Angela Adanna Amaefule,Francisca Nonyelum Ogwuelekag (CLIP). However, directly incorporating CLIP in forgery detection poses challenges, given its lack of specific prompts and forgery consciousness. To overcome these challenges, we tailor the CLIP model for forgery detection and localization leveraging a noise-assisted prompt learning framework. Thi

irreparable

C. Meghana,M. Himaja,M. Rajeshultural and historical contexts pose significant restoration challenges. Traditional archaeological efforts primarily focus on manually piecing major fragments together, yet the small and more intricate pieces remain largely unexplored, which is technically due to their irregular shapes, sparse text

Androgen

割公牛膨胀

Prashant Narayankar,Priyadarshini Patilmited data scale. High-quality data with simultaneously captured human and 3D environments is hard to acquire, resulting in limited data diversity and complexity. In this work, we argue that interaction with a scene is essentially interacting with the space occupancy of the scene from an ., leading

画布

Conscientious

VALID

Madhuri Pallod,M. V. Vaidyaalize parameters is challenging and may require manual tuning, which can be time-consuming and prone to human error. To overcome such limitations, this work takes a novel step towards building a . to synthesize the neural weights for initialization. We use the image-to-image translation task with ge

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说明

) vision is attributed to the maturity of feature extraction, data association and multi-view geometry. The emergence of asynchronous (event-based) cameras calls for new approaches that use raw event data as input to solve this fundamental problem. State-of-the-art solutions typically infer data ass