SOTAVerified

Feature Compression

Compress data for machine interpretability to perform downstream tasks, rather than for human perception.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 96 papers

TitleStatusHype
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge ComputingCode1
Learning to Manipulate Artistic ImagesCode1
Lossy Compression for Lossless PredictionCode1
Compressive Feature Selection for Remote Visual Multi-Task Inference—0
Categorical Feature Compression via Submodular Optimization—0
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation—0
Comparing of Term Clustering Frameworks for Modular Ontology Learning—0
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law—0
Show:102550
← PrevPage 2 of 10Next →

No leaderboard results yet.