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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 41–50 of 96 papers

TitleStatusHype
Distributed and Rate-Adaptive Feature Compression—0
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation—0
Flexible Variable-Rate Image Feature Compression for Edge-Cloud SystemsCode0
The Geometric Structure of Topic Models—0
Effective Communication with Dynamic Feature CompressionCode0
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder—0
Vertical Federated Image Segmentation—0
Understanding Deep Representation Learning via Layerwise Feature Compression and DiscriminationCode0
End-to-end Feature Selection Approach for Learning Skinny TreesCode0
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling—0
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