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 81–90 of 96 papers

TitleStatusHype
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
DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality—0
Deep feature compression for collaborative object detection—0
Joint Device-Edge Inference over Wireless Links with Pruning—0
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information—0
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning—0
Distilling Channels for Efficient Deep Tracking—0
Distributed and Rate-Adaptive Feature Compression—0
Show:102550
← PrevPage 9 of 10Next →

No leaderboard results yet.