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Found 5 papers, 1 papers with code
Deep Learning Enabled Semantic Communication Systems for Video Transmission
Semantic communication has emerged as a promising approach for improving efficient transmission in the next generation of wireless networks.
KETM:A Knowledge-Enhanced Text Matching method
To this end, in this paper, We introduce a new model for text matching called the Knowledge Enhanced Text Matching model (KETM), to enrich contextual representations with real-world common-sense knowledge from external knowledge sources to enhance our model understanding and reasoning.
DEIM: An effective deep encoding and interaction model for sentence matching
To solve this problem, we propose a sentence matching method based on deep encoding and interaction to extract deep semantic information.
Ranked #22 on
Natural Language Inference
on SNLI
Wireless Transmission of Images With The Assistance of Multi-level Semantic Information
In particular, the proposed model includes a multilevel semantic feature extractor, that extracts both the highlevel semantic information, such as the text semantics and the segmentation semantics, and the low-level semantic information, such as local spatial details of the images.
DTWSSE: Data Augmentation with a Siamese Encoder for Time Series
In order to reasonably measure the distance of the time series, DTW, which has been verified to be an effective method forts, is employed as the distance metric.
