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This paper presents a novel Structure-Aware Network (SANet) architecture for visual tracking, which integrates Recurrent Neural Networks (RNNs) to model the self-structure of objects, thereby improving tracking accuracy in the presence of similar distractors. Unlike traditional CNN-based trackers that mainly focus on inter-class classification, SANet utilizes RNNs to distinguish even slight differences between objects and distractors by capturing their self-structure. Extensive experimental...
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What is sanet structure-aware network for?
Sanet Structure-Aware Network is designed to enhance network performance and efficiency by utilizing structural information to optimize resource allocation and data flow.
Who is required to file sanet structure-aware network for?
Organizations and entities that manage large-scale networks or utilize structure-aware technologies are required to file for the Sanet Structure-Aware Network.
How to fill out sanet structure-aware network for?
To fill out the Sanet Structure-Aware Network form, provide detailed information about your network's structure, operational parameters, and any relevant data related to resource management.
What is the purpose of sanet structure-aware network for?
The purpose of the Sanet Structure-Aware Network is to streamline network operations, improve data handling, and optimize performance through a structured approach.
What information must be reported on sanet structure-aware network for?
Information that must be reported includes network layout, resource allocation details, performance metrics, and compliance with structural regulations.
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