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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
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling—0
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization—0
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law—0
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal—0
Attention-based Feature Compression for CNN Inference Offloading in Edge Computing—0
Categorical Feature Compression via Submodular Optimization—0
Chromatic Learning for Sparse Datasets—0
Collaborative Intelligence: Challenges and Opportunities—0
Communication-Computation Efficient Device-Edge Co-Inference via AutoML—0
Compact Representation for Image Classification: To Choose or to Compress?—0
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