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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 51–60 of 96 papers

TitleStatusHype
Comparing of Term Clustering Frameworks for Modular Ontology Learning—0
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation—0
Compressive Feature Selection for Remote Visual Multi-Task Inference—0
Cross-architecture universal feature coding via distribution alignment—0
Cross Modal Compression: Towards Human-comprehensible Semantic Compression—0
SpikeBottleNet: Spike-Driven Feature Compression Architecture for Edge-Cloud Co-Inference—0
Stereo Image Coding for Machines with Joint Visual Feature Compression—0
Structurally Consistent MRI Colorization using Cross-modal Fusion Learning—0
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference—0
Texture-guided Coding for Deep Features—0
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