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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 21–30 of 96 papers

TitleStatusHype
Feature Compression for Cloud-Edge Multimodal 3D Object Detection—0
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent DrivingCode0
Towards unlocking the mystery of adversarial fragility of neural networks—0
Texture-guided Coding for Deep Features—0
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
JointRF: End-to-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression—0
Compressive Feature Selection for Remote Visual Multi-Task Inference—0
DMOFC: Discrimination Metric-Optimized Feature Compression—0
Vector Quantization for Recommender Systems: A Review and OutlookCode1
Distributed and Rate-Adaptive Feature Compression—0
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