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Feature Compression

Compress data for machine interpretability to perform downstream tasks, rather than for human perception.

Papers

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Showing 51–60 of 96 papers

TitleStatusHype
SC2 Benchmark: Supervised Compression for Split Computing—0
Selective Feature Compression for Efficient Activity Recognition Inference—0
Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression—0
SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks—0
Source Feature Compression for Object Classification in Vision-Based Underwater Robotics—0
SpikeBottleNet: Spike-Driven Feature Compression Architecture for Edge-Cloud Co-Inference—0
Stereo Image Coding for Machines with Joint Visual Feature Compression—0
Structurally Consistent MRI Colorization using Cross-modal Fusion Learning—0
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference—0
Texture-guided Coding for Deep Features—0
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