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Semantic Communication

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/zhang-guangyi/semantic-mdjcm

공식 코드

From Analog to Digital: Multi-Order Digital Joint Coding-Modulation for Semantic Communication

https://github.com/zhang-guangyi/t-udeepsc

공식 코드

A Unified Multi-Task Semantic Communication System for Multimodal Data

https://github.com/zhenzi-weng/deepsc-st_demonstration

공식 코드

Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis

https://github.com/zjs919/irml

공식 코드

Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning

https://github.com/2023-MindSpore-1/ms-code-222/tree/main/snn

SNN-SC: A Spiking Semantic Communication Framework for Collaborative Intelligence

https://github.com/dimlight13/MU_SC_for_VQA

Task-Oriented Multi-User Semantic Communications for VQA Task

https://github.com/ltdung/snt-sentry

A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives

https://github.com/meatery/semantic-restoration

Deep Image Semantic Communication Model for Artificial Intelligent Internet of Things

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.