Semantic Compression
14 papers with code • 0 benchmarks • 0 datasets
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Libraries
Use these libraries to find Semantic Compression models and implementationsMost implemented papers
MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
With the evolution of storage and communication protocols, ultra-low bitrate image compression has become a highly demanding topic.
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
sustcsonglin/flash-linear-attention
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This method exemplifies semantic compression by maintaining essential input information with fixed-size hidden states.
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse
slz-ai/hfedms
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Federated Learning (FL), as a rapidly evolving privacy-preserving collaborative machine learning paradigm, is a promising approach to enable edge intelligence in the emerging Industrial Metaverse.
Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression
tianyuan168326/videosemanticcompression-pytorch
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ICCV 2023
Most video compression methods aim to improve the decoded video visual quality, instead of particularly guaranteeing the semantic-completeness, which deteriorates downstream video analysis tasks, e. g., action recognition.
The Projection-Enhancement Network (PEN)
eddy6081/pen
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Contemporary approaches to instance segmentation in cell science use 2D or 3D convolutional networks depending on the experiment and data structures.
Distortion Resilience for Goal-Oriented Semantic Communication
Recent research efforts on Semantic Communication (SemCom) have mostly considered accuracy as a main problem for optimizing goal-oriented communication systems.
Unsupervised Lead Sheet Generation via Semantic Compression
Lead sheets have become commonplace in generative music research, being used as an initial compressed representation for downstream tasks like multitrack music generation and automatic arrangement.
An Incremental Unified Framework for Small Defect Inspection
jqtangust/IUF
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Artificial Intelligence (AI)-driven defect inspection is pivotal in industrial manufacturing.
Extending Context Window of Large Language Models via Semantic Compression
srgrace/contextual-compression
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Transformer-based Large Language Models (LLMs) often impose limitations on the length of the text input to ensure the generation of fluent and relevant responses.
SMC++: Masked Learning of Unsupervised Video Semantic Compression
tianyuan168326/videosemanticcompression-pytorch
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In this paper, we propose a Masked Video Modeling (MVM)-powered compression framework that particularly preserves video semantics, by jointly mining and compressing the semantics in a self-supervised manner.
