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 31–40 of 96 papers

TitleStatusHype
Compressive Feature Selection for Remote Visual Multi-Task Inference—0
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder—0
Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object Detection—0
Categorical Feature Compression via Submodular Optimization—0
DMOFC: Discrimination Metric-Optimized Feature Compression—0
Distributed and Rate-Adaptive Feature Compression—0
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation—0
Distilling Channels for Efficient Deep Tracking—0
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning—0
Comparing of Term Clustering Frameworks for Modular Ontology Learning—0
Show:102550
← PrevPage 4 of 10Next →

No leaderboard results yet.