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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 71–80 of 96 papers

TitleStatusHype
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal—0
Attention-based Feature Compression for CNN Inference Offloading in Edge Computing—0
Categorical Feature Compression via Submodular Optimization—0
Chromatic Learning for Sparse Datasets—0
Collaborative Intelligence: Challenges and Opportunities—0
Communication-Computation Efficient Device-Edge Co-Inference via AutoML—0
Compact Representation for Image Classification: To Choose or to Compress?—0
Comparing of Term Clustering Frameworks for Modular Ontology Learning—0
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation—0
Compressive Feature Selection for Remote Visual Multi-Task Inference—0
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