Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

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Yafang Zheng,Lei Lin,Yuxuan Yuan,Xiaodong Shi there is a great concern over security assurance provided by such components. Often open source software is a subject of frequent updates. The updates might introduce or remove a diverse range of features and hence violate security properties of the previous releases. Obviously, a manual inspection

exigent

Klaudia Balcer,Piotr Lipinskional use, quadrotors are manually controlled by expert operators via a remote controller. In research, several projects provide various degrees of automation for the execution of the mission; however, those projects are based on the use of programming languages which are too distant from the backgro

Sinus-Rhythm

Jun Li,Guangyu Li,Haobo Jiang,Weili Guo,Chen Gongication of their interactions, namely a choreography. BPMN2 (Business Process Modeling Notation v2.0) provides a dedicated notation, called Choreography Diagrams, to define the global expected behavior between interacting participants. An interesting problem worth considering concerns choreography r

chapel

Active Learning for?Open-Set Annotation Using Contrastive Query Strategyes in the unlabeled set. Secondly, by comparing the predictions between auxiliary network, classification, and feature similarity, OSA-CQ designs a contrastive query strategy to select these most informative samples from unlabeled and known classes set. Experimental results on CIFAR10, CIFAR100 and

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dandruff

生氣地

Enhancing Heterogeneous Graph Contrastive Learning with?Strongly Correlated Subgraphst node in the heterogeneous graph based on both topological structure information and node attribute feature information. In the calculation of contrastive loss, we perform feature shifting operations on positive and negative samples based on subgraph encoding to enhance the model’s ability to discr

Gossamer

DRPDDet: Dynamic Rotated Proposals Decoder for Oriented Object Detectionn. By doing so, the RPN generates horizontal proposals that focus more on foreground objects, which leads to improved regression performance. Additionally, we design a dynamic rotated proposals decoder that adaptively generates rotated proposals based on the constraints of the horizontal proposals,

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