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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 31–40 of 96 papers

TitleStatusHype
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder—0
Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object Detection—0
Categorical Feature Compression via Submodular Optimization—0
DMOFC: Discrimination Metric-Optimized Feature Compression—0
Distributed and Rate-Adaptive Feature Compression—0
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation—0
Distilling Channels for Efficient Deep Tracking—0
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning—0
Comparing of Term Clustering Frameworks for Modular Ontology Learning—0
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law—0
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