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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
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation—0
Flexible Variable-Rate Image Feature Compression for Edge-Cloud SystemsCode0
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
The Geometric Structure of Topic Models—0
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
Effective Communication with Dynamic Feature CompressionCode0
Learning to Manipulate Artistic ImagesCode1
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder—0
Vertical Federated Image Segmentation—0
WidthFormer: Toward Efficient Transformer-based BEV View TransformationCode2
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