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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
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
DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality—0
In Defense of Clip-based Video Relation Detection—0
End-to-End Learnable Multi-Scale Feature Compression for VCM—0
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization—0
VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object DetectionCode1
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge ComputingCode1
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network AcceleratorsCode0
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