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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 61–70 of 96 papers

TitleStatusHype
SC2 Benchmark: Supervised Compression for Split ComputingCode0
Context-Aware Compilation of DNN Training Pipelines across Edge and CloudCode0
Source Feature Compression for Object Classification in Vision-Based Underwater Robotics—0
Reconstructing Pruned Filters using Cheap Spatial Transformations—0
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics—0
Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression—0
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks—0
Communication-Computation Efficient Device-Edge Co-Inference via AutoML—0
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information—0
Supervised Compression for Resource-Constrained Edge Computing SystemsCode1
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