We adopt three intelligent tasks, including, image retrieval, machine translation, and visual question answering (VQA) as the transmission goal of semantic communication systems. We propose a Transformer based framework to unify the structure of transmitters for different tasks. For the single-modal ...
Most semantic scene parsing methods use supervised machine learning algorithms and thus rely on densely labeled (manually annotated) training sets which are very tedious to obtain. Only a small amount of training data is currently available for this task,1 which makes this problem stand out from ...
Multi-level semantic feature augmentation for one-shot learning IEEE Trans. Image Process., 28 (2019), pp. 4594-4605 CrossrefView in ScopusGoogle Scholar [37] X. Feng, J. Yang, A.F. Laine, E.D. Angelini Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary No...
Recent advances in deep convolutional neural networks (CNN) and their learning techniques provide efficient solutions for different computer vision applications. While simple applications can be realized with a single-task formulation such as classification [9], semantic segmentation [10], or object detec...
Semantic Scholar ResearchGate era.lib.ed.ac.uk core.ac.uk hdl.handle.net 查看更多 相似文献 引证文献A versatile cost modelling approach for multicomputer task scheduling In general, scheduling models only consider the message delay or latency as the dominant communication parameter. However, in many...
Martínez Alonso H, Plank B (2017) When is multitask learning effective? semantic sequence prediction under varying data conditions. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, Association for Computational Ling...
来自 Semantic Scholar 喜欢 0 阅读量: 51 作者: AR Mosteo 摘要: Autonomous robots working in a shared environment require new coordination capabilities in order to achieve enhanced efficiency: planning to decide what is the best way to tackle a problem and task allocation to decide which robot ...
IPC, inter-process communication. Full size image Here we present Social LEAP (SLEAP), a system for multi-animal pose tracking and the successor of the single-animal pose-estimation method LEAP6. SLEAP is a general-purpose framework developed from the ground up and meets the needs of the ...
As a typical task in this field, clarification question generation (CQG) is often utilized to handle the ambiguous and mis-apprehensive communication. Due to a huge commercial value, this task has attracted great attention from academia and industry [1], [4], [34], [45]. In this paper, ...
The deeper embedding contains higher-level visual semantic information, which has a more powerful representation ability for FER. However, most existing approaches focus primarily on frontal or near-frontal FER, which does not work properly when applied to non-frontal FER. When the view angle ...